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author | Joseph Hunkeler <jhunkeler@gmail.com> | 2015-07-08 20:46:52 -0400 |
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committer | Joseph Hunkeler <jhunkeler@gmail.com> | 2015-07-08 20:46:52 -0400 |
commit | fa080de7afc95aa1c19a6e6fc0e0708ced2eadc4 (patch) | |
tree | bdda434976bc09c864f2e4fa6f16ba1952b1e555 /pkg/images/immatch/doc/xregister.hlp | |
download | iraf-linux-fa080de7afc95aa1c19a6e6fc0e0708ced2eadc4.tar.gz |
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diff --git a/pkg/images/immatch/doc/xregister.hlp b/pkg/images/immatch/doc/xregister.hlp new file mode 100644 index 00000000..b0690118 --- /dev/null +++ b/pkg/images/immatch/doc/xregister.hlp @@ -0,0 +1,707 @@ +.help xregister Dec98 images.immatch +.ih +NAME +xregister -- register 1 and 2D images using X-correlation techniques +.ih +USAGE +xregister input reference regions shifts +.ih +PARAMETERS +.ls input +The list of input images to be registered. +.le +.ls reference +The list of reference images to which the input images are to be registered. +The number of reference images must be one or equal to the number of input +images. +.le +.ls regions +The list of reference image region(s) used to compute the +x and y shifts. +\fIRegions\fR may be: 1) a list of one or more image sections +separated by whitespace, 2) the name of a text file containing a list +of one or more image sections separated by whitespace and/or newlines, +3) a string of the form "grid nx ny" defining a grid of nx by ny +equally spaced and sized image sections spanning the entire image. Shifts are +computed for each specified region individually and averaged to produce the +final x and y shift. +.le +.ls shifts +The name of the text file where the computed x and y shifts +are written. If \fIdatabasefmt\fR is "yes", a single record containing the +computed x and y shifts for each image region and the final average x and y +shift is written to a text database file for each input image. +If \fIdatabasefmt\fR = "no", a single line containing the image name and the +final average x and y shift is written to a simple text file +for each input image. +.le +.ls output = "" +The list of output shifted images. If \fIoutput\fR is the NULL string +then x and y shifts are computed for each input image and written to +\fIshifts\fR but no output images are written. If \fIoutput\fR is not NULL +then the number of output images must equal the number of input images. +.le +.ls databasefmt = yes +If \fIdatabasefmt\fR is "yes" the results are written to a text database +file, otherwise they are written to a simple text file. +.le +.ls records = "" +The list of records to be written to or read from \fIshifts\fR for each +input image. If \fIrecords\fR is NULL then the output or input record names +are assumed to be the names of the input images. If \fIrecords\fR is not NULL +then the record names in \fIrecords\fR are used to write / read the +records. This parameter is useful for users +who, wish to compute the x and y shifts using images that have been processed +in some manner (e.g. smoothed), but apply the computed x and y shifts to the +original unprocessed images. If more then one record +with the same name exists in \fIshifts\fR then the most recently written +record takes precedence. The records parameter is ignored if +\fIdatabasefmt\fR is "no". +.le +.ls append = yes +Append new records to an existing \fIshifts\fR file or start a new shifts +file for each execution of XREGISTER? The append parameter is ignored +if \fIdatabasefmt\fR is "no". +.le +.ls coords = "" +An optional list of coordinates files containing the x and y coordinates of +an object in the reference image on the first line and the x and y coordinates +of the same object in the input image(s) on succeeding lines. The number +of coordinate files must be equal to the number of reference images. +The input coordinates are used to compute initial +values for the x and y lags between the input image and the reference image, +and supersede any non-zero values of \fIxlag\fR, \fIylag\fR, \fIdxlag\fR, +and \fIdylag\fR supplied by the user. +.le +.ls xlag = 0, ylag = 0 +The initial x and y lags of the input image with respect to the reference +image. Positive values imply that the input image is shifted +in the direction of increasing x and y values with respect to the +reference image. \fIXlag\fR and \fIylag\fR are overridden if an offset +has been determined using the x and y coordinates in the \fIcoords\fR file. +.le +.ls dxlag = 0, dylag = 0 +The increment in \fIxlag\fR and \fIylag\fR to be applied to successive input +images. If \fIdxlag\fR and \fIdylag\fR are set to INDEF then the +computed x and y lags for the previous image are used as the initial +x and y lags for the current image. This option is useful for images which +were taken as a time sequence and whose x and y the shifts increase or +decrease in a systematic manner. +\fIDxlag\fR and \fIdylag\fR are overridden if an offset +has been determined using x and y coordinates in the \fIcoords\fR file. +.le +.ls background = none +The default background function to be subtracted from the input +and reference image data in each region before the +cross-correlation function is computed. The options are: +.ls none +no background subtraction is done. +.le +.ls mean +the mean of the reference and input image region is computed and subtracted +from the image data. +.le +.ls median +the median of the reference and input image region is computed and subtracted +from the data. +.le +.ls plane +a plane is fit to the reference and input image region and subtracted +from the data. +.le + +By default the cross-correlation function is computed in a manner +which removes the mean intensity in the reference and input image regions +from the data. For many data sets this "correction" is sufficient to +remove first order background level effects +from the computed cross-correlation function and no additional +background subtraction is required. +.le +.ls border = INDEF +The width of the border region around the input and reference image data +regions used to compute the background function if \fIbackground\fR +is not "none". By default the entire region is used. +.le +.ls loreject = INDEF, ls hireject = INDEF +The k-sigma rejection limits for removing the effects of bad data from the +background fit. +.le +.ls apodize = 0.0 +The fraction of the input and reference image data endpoints in x and y +to apodize with a +cosine bell function before the cross-correlation function is computed. +.le +.ls filter = none +The spatial filter to be applied to the reference and input image +data before the cross-correlation function is computed. The options are: +.ls none +no spatial filtering is performed. +.le +.ls laplace +a Laplacian filter is applied to the reference and input image data. +.le +.le +.ls correlation = discrete +The algorithm used to compute the cross-correlation function. The options +are: +.ls discrete +The cross-correlation function is calculated by computing the discrete +convolution of the reference and input image regions over the x and y +window of interest. This technique is most efficient method for small +cross-correlation function x and y search windows. +.le +.ls fourier +The cross-correlation function is calculated by computing the convolution +of the reference and input image regions using Fourier techniques. +This technique is the most efficient method for computing the +cross-correlation function for small x and y search windows. +.le +.ls difference +The cross-correlation function is calculated by computing the error +function of the reference and input images as a function of position +in the x and y search window. +.le +.ls file +No cross-correlation function is computed. Instead the previously +computed x and y shifts are read from record \fIrecord\fR in the text +database file \fIshifts\fR if \fIdatabasefmt\fR is "yes", or the +next line of a simple text file if \fIdatabasefmt\fR is "no". +.le +.le +.ls xwindow = 11, ywindow = 11 +The x and y width of the cross-correlation function region +to be computed and/or searched for peaks. The search window corresponds +to shifts of - xwindow / 2 <= xshift <= xwindow /2 and - ywindow / 2 <= +yshift <= ywindow / 2. \fIXwindow\fR and \fIywindow\fR +are automatically rounded up to the next nearest odd number. +.le +.ls function = centroid +The algorithm used to compute the x and y position of the cross-correlation +function peak. The options are: +.ls none +the position of the cross-correlation function peak is set to +x and y position of the maximum pixel. +.le +.ls centroid +the position of the cross-correlation function peak is calculated +by computing the intensity-weighted mean of the marginal profiles of +the cross-correlation function in x and y. +.le +.ls sawtooth +the position of the cross-correlation function peak is calculated +by convolving 1D slices in x and y through the cross-correlation function +with a 1D sawtooth function and using the point at which the peak is +bisected to determine the x and y position of the cross-correlation +peak. +.le +.ls parabolic +a 1D parabola is fit to 1D slices in x and y through the cross-correlation +function and the fitted coefficients are used to compute the peak of +the cross-correlation function. +.le +.ls mark +mark the peak of the cross-correlation function with the graphics cursor. +This option will only work if \fIinteractive\fR = "yes". +.le +.le +.ls xcbox = 5, ycbox = 5 +The width of the box centered on the peak of the cross-correlation function +used to compute the fractional pixel x and y center. +.le +.ls interp_type = "linear" +The interpolant type use to computed the output shifted image. +The choices are the following: +.ls nearest +nearest neighbor. +.le +.ls linear +bilinear interpolation in x and y. +.le +.ls poly3 +third order interior polynomial in x and y. +.le +.ls poly5 +fifth order interior polynomial in x and y. +.le +.ls spline3 +bicubic spline. +.le +.ls sinc +2D sinc interpolation. Users can specify the sinc interpolant width by +appending a width value to the interpolant string, e.g. sinc51 specifies +a 51 by 51 pixel wide sinc interpolant. The sinc width input by the +user will be rounded up to the nearest odd number. The default sinc width +is 31 by 31. +.le +.ls drizzle +2D drizzle resampling. Users can specify the drizzle pixel fractions in x and y +by appending values between 0.0 and 1.0 in square brackets to the +interpolant string, e.g. drizzle[0.5]. The default value is 1.0. The +value 0.0 is increased to 0.001. Drizzle resampling with a pixel fraction +of 1.0 in x and y is identical to bilinear interpolation. +.le +.le +.ls boundary_type = "nearest" +The boundary extension algorithm used to compute the output shifted +image. The choices are: +.ls nearest +use the value of the nearest boundary pixel. +.le +.ls constant +use a constant value. +.le +.ls reflect +generate a value by reflecting about the boundary. +.le +.ls wrap +generate a value by wrapping around to the opposite side of the image. +.le +.le +.ls constant = 0 +The default constant for constant boundary extension. +.le +.ls interactive = no +Compute the cross-correlation function and the shifts for each image +interactively using graphics cursor and optionally image cursor input. +.le +.ls verbose +Print messages about the progress of the task during task execution +in non-interactive mode. +.le +.ls graphics = "stdgraph" +The default graphics device. +.le +.ls display = "stdimage" +The default image display device. +.le +.ls gcommands = "" +The default graphics cursor. +.le +.ls icommands = "" +The default image display cursor. +.le + +.ih +DESCRIPTION + +XREGISTER computes the x and y shifts required to register a list of input +images \fIinput\fR to a list of reference images \fIreference\fR using +cross-correlation techniques. The computed x and y shifts are stored +in the text file \fIshifts\fR, in the records \fIrecords\fR if +\fIdatabasefmt\fR is "yes" or a single line of a simple text file +if \fIdatabasefmt\fR is "no". One entry is made in the shifts file for +each input image. If a non NULL list of output images +\fIoutput\fR is supplied a shifted output image is written for each input +image. XREGISTER is intended to solve 1D and 2D image registration problems +where the images have the same size, the same pixel scale, are shifted +relative to +each other by simple translations in x and y, and contain one or more +extended features in common that will produce a peak in the computed +cross-correlation function. + +The reference image regions used to compute the cross-correlation +function shifts are defined by the parameter +\fIregions\fR. \fIRegions\fR may be: +1) a list of one or more image sections, e.g. +"[100:200,100:200] [400:500,400:500]" separated +by whitespace, 2) the name of a text file containing a list of one or +more image sections separated by whitespace and / or newline characters, +or, 3) a string +of the form "grid nx ny" specifying a grid of nx by ny +image sections spanning the entire reference image. +All reference image regions should be chosen so as to +include at least one well-defined object or feature. Cross-correlation +functions and x and y shifts are computed independently for each +reference image region +and averaged to produce the final x and y shift for each input image. + +By default the initial x and y lags between the input and reference +image are assumed to by 0.0 and 0.0 +respectively and each reference image region is cross-correlated +with the identical region in the input image, e.g reference image +region [100:200,100:200] is cross-correlated with input image +region [100:200,100:200]. + +Non-zero initial guesses for +the x and y shifts for each input image can be input to XREGISTER using +the coordinates file parameter \fIcoords\fR. +\fICoords\fR is a simple text file containing the x +and y coordinates of a single +object in the reference image in columns one and two +of line one, and the x and y coordinates of the same object in the first +input image in columns one and two of line two, etc. If \fIcoords\fR +is defined there must be one coordinate file for every reference image. +If there are fewer lines of text in \fIcoords\fR than there are +numbers of reference plus input images, then x and y shifts of 0.0 are +assumed for the extra input images. For example, +if the user specifies a single input and reference image, sets the +\fIregions\fR parameter to "[100:200,100:200]", and defines +a coordinates file which contains the numbers +50.0 50.0 in columns one and two of line one, and the numbers 52.0 and 52.0 +in columns one and two of line two, then the initial x and y +lags for the input image with respect to the reference image will be 2.0 +and 2.0 respectively, and the reference image region [100:200,100:200] will be +cross-correlated with the input image region [102:202,102:202]. + +If \fIcoords\fR is NULL, the parameters \fIxlag\fR, \fIylag\fR, +\fIdxlag\fR, and \fIdylag\fR can be used to define initial x and y lags +for each input image. \fIXlag\fR and \fIylag\fR define the x and y lags +of the first input image with respect to the reference image. In the +example above they would be set to 2.0 and 2.0 respectively. Initial +shifts for succeeding images are computed by adding the values of the +\fIdxlag\fR and \fIdylag\fR parameters to the values of +\fIxlag\fR and \fIylag\fR assumed for the previous image. +If \fIdxlag\fR and \fIdylag\fR are 0.0 and 0.0 +the same initial x and y lag will be used for all the input +images. If \fIdxlag\fR and \fIdylag\fR are both finite numbers then these +numbers will be added to +the x and y lags assumed for the previous image. If these numbers +are both INDEF then the computed x and y lags for the previous image +will be used to compute the initial x and y lags for the current image. +Both options can be useful for time series images where the x and y +shifts between successive images display some regular behavior. + +Prior to computing the cross-correlation function +large mean background values and gradients should be removed +from the input and reference image data as either +can seriously degrade the peak of the cross-correlation +function. To first order XREGISTER computes the cross-correlation function +in a manner which removes +the effect of large mean background values from the resulting +function. For many if not most typical data sets the user can safely leave +the parameter \fIbackground\fR at its default value of "none" and +achieve reasonable results. For more demanding data sets the user should +experiment with the "mean", "median", and "plane" background fitting +algorithms which compute and subtract, the mean value, median value, and +a plane from the input and reference image data respectively, +before computing the +cross-correlation function. The region used to compute the background fitting +function can be restricted to a border around the reference and +input image regions by setting the \fIborder\fR parameter. Bad +data can be rejected from the background fit by setting the \fIloreject\fR +and \fIhireject\fR parameters. + +A cosine bell function can be applied to the edges of the input and +reference image data before +computing the cross-correlation function by setting the \fIapodize\fR +parameter. + +If the \fIfilter\fR parameter is set to "laplace" instead of its default +value of "none" then a Laplacian filter is applied to the input and +reference image data before the cross-correlation function is computed. +This spatial filtering operation effectively +removes both a background and a slope from the input and reference image +data and +highlights regions of the image where the intensity is changing rapidly. +The effectiveness of this filtering operation in sharpening the +correlation peak depends on the degree to +which the intensity in adjacent pixels is correlated. + +The cross-correlation function for each region is computed by +discrete convolution, \fIcorrelation\fR = "discrete", +Fourier convolution, \fIcorrelation\fR = "fourier", or by computing +the error function, \fIcorrelation\fR = "difference". The x and y lag +space in pixels around the initial x and y lag over which the cross-correlation +function is searched for the correlation peak, is specified by the +\fIxwindow\fR and +\fIywindow\fR parameters. These parameter define a range of x and y lags from +-xwindow / 2 to xwindow / 2 and -ywindow / 2 to ywindow / 2 respectively. For +a given input and reference image region, the +execution time of XREGISTER will depend strongly on both the correlation +algorithm chosen and +the size of the search window. In general users should use discrete +or difference correlation for small search windows and fourier +correlation for large search windows. + +The x and y lags for each input and reference image +region are computed by computing +the position of the peak of the cross-correlation function in the +search window using +one of the four centering algorithms: "none", "centroid", "sawtooth", +and "parabolic". + +The computed x and y shifts for each region and the final x and y shift +for each input image (where the computed x and y shifts are just the negative +of the computed x and y lags) are written to the shifts file \fIshifts\fR. +If \fIdatabasefmt\fR is "yes" each results is written in a record whose name +is either identical to the name of the input +image or supplied by the user via the \fIrecords\fR parameter . +If \fIdatabasefmt\fR is "no", then a single containing the input image +name and the computed x and y shifts is written to the output shifts file. + +If a list of output image names have been supplied then the x and y +shifts will be applied to the input images to compute the output images +using the interpolant type specified by \fIinterp_type\fR and the +boundary extension algorithm specified by \fIboundary\fR and \fIconstant\fR. + +If the \fIcorrelation\fR parameter is set to "file" then the shifts +computed in a previous run of XREGISTER will be read from the \fIshifts\fR +file and applied to the input images to compute the output images. +If no record list is supplied by the user XREGISTER will for each input +image search for +a record whose name is the same as the input image name. If more than +one record of the same name is found then the most recently written +record will be used. + +XREGISTER does not currently trim the input images but it computes and +prints the region over which they all overlap in the form of an image +section. Although XREGISTER is designed for use with same sized images, +it may be used with images of varying size. +In this case it is possible for the calculated overlap region to be vignetted, +as XREGISTER currently preserves the size of the input image when it shifts it. +For example if an image is much smaller than the reference image +it is possible for the image to be shifted outside of its own borders. +If the smallest image is used as a reference this will not occur. If +vignetting is detected the vignetted image section is printed on the +screen. Vignetting may also occur for a list of same-sized images +if the reference image is not included in the input image list, and the +computed shifts are all positive or negative as may occur in a time +sequence. Choosing a reference image with a shift which is in the +middle of the observed range of shifts in x and y will remove this problem. + +In non-interactive mode the parameters are set at task startup +and the input images are processed sequentially. If the \fIverbose\fR +flag is set messages about the progress of the task are printed on the +screen as the task is running. + +In interactive mode the user can mark the regions to be used +to compute the cross-correlation function on the image display, +define the initial shifts from the reference image to the input image +on the image display, show/set the data and algorithm parameters, +compute, recompute, and plot the cross-correlation function, experiment +with the various peak fitting algorithms, and overlay row and column +plots of the input and reference images with and without the initial and / or +computed shifts factored in. + +.ih +CURSOR COMMANDS + +The following graphics cursor commands are currently available in +XREGISTER. + + +.nf + Interactive Keystroke Commands + +? Print help +: Colon commands +t Define the offset between the reference and the input image +c Draw a contour plot of the cross-correlation function +x Draw a column plot of the cross-correlation function +y Draw a line plot of the cross-correlation function +r Redraw the current plot +f Recompute the cross-correlation function +o Enter the image overlay plot submenu +w Update the task parameters +q Exit + + + Colon Commands + +:mark Mark regions on the display +:show Show the current values of the parameters + + Show/Set Parameters + +:reference [string] Show/set the current reference image name +:input [string] Show/set the current input image name +:regions [string] Show/set the regions list +:shifts {string] Show/set the shifts database file name +:coords [string] Show/set the current coordinates file name +:output [string] Show/set the current output image name +:records [string] Show/set the current database record name +:xlag [value] Show/set the initial lag in x +:ylag [value] Show/set the initial lag in y +:dxlag [value] Show/set the incremental lag in x +:dylag [value] Show/set the incremental lag in y +:cregion [value] Show/set the current region +:background [string] Show/set the background fitting function +:border [value] Show/set border region for background fitting +:loreject [value] Show/set low side k-sigma rejection +:hireject [value] Show/set high side k-sigma rejection +:apodize [value] Show/set percent of end points to apodize +:filter [string] Show/set the default spatial filter +:correlation [string] Show/set cross-correlation function +:xwindow [value] Show/set width of correlation window in x +:ywindow [value] Show/set width of correlation window in y +:function [string] Show/set correlation peak centering function +:xcbox [value] Show/set the centering box width in x +:ycbox [value] Show/set the centering box width in y +.fi + + +The following submenu of image cursor commands is also available. + +.nf + Image Overlay Plot Submenu + + +? Print help +c Overlay the marked column of the reference image + with the same column of the input image +l Overlay the marked line of the reference image + with the same line of the input image +x Overlay the marked column of the reference image + with the x and y lagged column of the input image +y Overlay the marked line of the reference image + with the x and y lagged line of the input image +v Overlay the marked column of the reference image + with the x and y shifted column of the input image +h Overlay the marked line of the reference image + with the x and y shifted line of the input image +q Quit + + + Image Overlay Sub-menu Colon Commands + +:c [m] [n] Overlay the middle [mth] column of the reference image + with the mth [nth] column of the input image +:l [m] [n] Overlay the middle [mth] line of the reference image + with the mth [nth] line of the input image +:x [m] Overlay the middle [mth] column of the reference image + with the x and y lagged column of the input image +:y [m] Overlay the middle [mth] line of the reference image + with the x and y lagged line of the input image +:v [m] Overlay the middle [mth] column of the reference image + with the x and y shifted column of the input image +:h [m] Overlay the middle [mth] line of the reference image + with the x and y shifted line of the input image +.fi + +.ih +ALGORITHMS + +The cross-correlation function is computed in the following manner. +The symbols I and R refer to the input and reference images respectively. + +.nf +correlation = discrete + + <I> = SUMj SUMi { I[i+xlag,j+ylag] } / (Nx * Ny) + <R> = SUMj SUMi { R[i,j] } / (Nx * Ny) + sumsqI = sqrt (SUMj SUMi { (I[i+xlag,j+ylag] - <I>) ** 2 }) + sumsqR = sqrt (SUMj SUMi { (R[i,j] - <R>) ** 2 }) + + X = SUMj SUMi { (I[i+xlag,j+ylag] - <I>) * (R[i,j] - <R>) } + ---------------------------------------------------- + sumsqI * sumsqR + + +correlation = fourier + + <I> = SUMj SUMi { I[i,j] } / (Nx * Ny) + <R> = SUMj SUMi { R[i,j] } / (Nx * Ny) + sumsqI = sqrt (SUMj SUMi { (I[i,j] - <I>) ** 2 }) + sumsqR = sqrt (SUMj SUMi { (R[i,j] - <R>) ** 2 }) + FFTI = FFT { (I - <I>) / sumsqI } + FFTR = FFT { (R - <R>) / sumsqR } + + X = FFTINV { FFTR * conj { FFTI } } + + +correlation = difference + + <I> = SUMj SUMi { I[i+xlag,j+ylag] } / (Nx * Ny) + <R> = SUMj SUMi { R[i,j] } / (Nx * Ny) + + X = SUMj SUMi { abs ((I[i+xlag,j+ylag] - <I>) - (R[i,j] - <R>)) } + X = 1.0 - X / max { X } +.fi + +.ih +EXAMPLES + +1. Register a list of images whose dimensions are all 256 by 256 pixels +and whose shifts with respect to the reference image are all less than +5.0 pixels, using the discrete cross-correlation algorithm and a search +window of 21 pixels in x and y. + +.nf + cl> xregister @inimlist refimage [*,*] shifts.db out=@outimlist \ + xwindow=21 ywindow=21 +.fi + +2. Register the previous list of images, but compute the cross_correlation +function using boxcar smoothed versions of the input images. + +.nf + cl> xregister @binimlist brefimage [*,*] shifts.db xwindow=21 \ + ywindow=21 + + cl> xregister @inimlist refimage [*,*] shifts.db out=@outimlist \ + records=@binimlist correlation=file +.fi + +3. Register the previous list of images but write the results to a simple +text file instead of a text database file and do the actual shifting with +the imshift task. + +.nf + cl> xregister @binimlist brefimage [*,*] shifts.db xwindow=21 \ + ywindow=21 databasefmt- + + cl> fields shifts.db 2,3 > shifts + + cl> imshift @inimlist @outimlist shifts_file=shifts +.fi + +4. Register list of 512 by 512 pixel square solar sunspot images that were +observed as a time series. Compute the cross-correlation function using +Fourier techniques, a search window of 21 pixels in x and y, an initial +shift of 10 pixels in x and 1 pixel in y, and use the computed shift of +the previous image as the initial guess for the current image. + +.nf + cl> xregister @inimlist refimage [*,*] shifts.db out=@outimlist \ + xlag=10 ylag=1 dxlag=INDEF dylag=INDEF correlation=fourier \ + xwindow=21 ywindow=21 +.fi + +5. Register two 2K square images interactively using discrete cross-correlation +and an initial search window of 15 pixels in x and y. + +.nf + cl> display refimage + + cl> xregister inimage refimage [900:1100,900:1100] shifts.db \ + xwindow=15 ywindow=15 interactive+ + + ... a contour plot of the cross-correlation function appears + with the graphics cursor ready to accept commands + + ... type x and y to get line and column plots of the cross- + correlation function at various points and c to return + to the default contour plot + + ... type ? to get a list of the available commands + + ... type :mark to mark a new region on the image display + + ... type f to recompute the cross-correlation function using + the new data + + ... increase the search window to 21 pixels in x and y + with the :xwindow 21 and :ywindow 21 commands + + ... type f to recompute the cross-correlation function with the + new search window + + ... type o to enter the image data overlay plot submenu, + move the cursor to a line in the displayed reference image + and type l to see of plot of the line in the input and + reference image, type h to see a plot of the same line in + the reference image and the x and y shifted line in the input + image, type q to return to the main menu + + ... type q to quit the task, and q again to verify the previous + q command +.fi + +.ih +TIME REQUIREMENTS +.ih +BUGS +.ih +SEE ALSO +rv.fxcor,proto.imalign,images.imcombine,ctio.immatch,center1d,images.imshift +.endhelp |