![]() If the input stacks are time-lapse images, you will have different choices on how to align over time: It has no influence on how the data is fused. When choosing the registration channels you define which part of the data will be used to compute the overlap. ![]() Otherwise no interpolation will be applied. Furthermore, if subpixel localization is activated, linear interpolation will be used for the fusion. If you check supixel accuracy, the plugin will compute a subpixel precise alignment between the two images (it hardly costs any computation time but some RAM). If you do not check compute overlap, the plugin will just apply the translation that can be inserted below. If the stitching was not correct increasing this number might help. The number of peaks defines the number of maxima in the Phase Correlation Matrix which are examined. Do not fuse images: no output images will be computed, just the overlap is computed.Overlay into Composite: all channels of all input images will be put into the output image as separate channels.Intensity: In the overlapping area the minimum intensity between all images is used int the output image. Intensity: In the overlapping area the maximum intensity between all images is used int the output image. Median: In the overlapping area the median intensity of all images is computed.Average: In the overlapping area the average intensity between all images is computed ( example source code).Linear blending: In the overlapping area the intensity are smoothly adjusted between the two images.Please note that RGB input images will be converted into 8-Bit composite images. The dialog will depend on the dimensionality of the input images. Once you selected the input images it will show the actual dialog for the Pairwise Stitching. They can contain rectangular ROIs which limit the search to those areas, however, the full images will be stitched together. The Pairwise Stitching first queries for two input images that you intend to stitch. It supports cases where the approximate alignment is known (grid, stored in file, metadata) as well as completely unguided alignment.Īlthough both plugins make use of layered context-dependent Generic Dialogs, they are completely macro-scriptable. Grid/Collection Stitching: Stitch an arbitrary amount of 2d-5d input images. ![]()
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