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file | anisodiff.m |
| ANISODIFF - Anisotropic diffusion.
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file | do_andiff_filtering.m |
| Filter dataset with anisotropic diffusion.
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file | do_andiff_filtering_backup.m |
| Filter dataset with anisotropic diffusion.
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file | do_diplib_andiff_filtering.m |
| Anisotropic diffusion filters from the Diplib library (http://www.diplib.org)
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file | get_black_white_filter.m |
| Calculate black and white bitmap out of the image.
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file | getFrangiMask.m |
| Return Frangi mask generated from the img.
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file | getMorphMask.m |
| Return result of BW Morphological filters generated from the img.
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file | getStrelMask.m |
| Return Strel mask (imtophat/imbothat) generated from the img.
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file | ib_anisotropicDiffusion.m |
| Filter image with Anisotropic diffusion filters.
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file | ib_autoBrightness.m |
| Adjust brightness automatically.
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file | ib_contrastCLAHE.m |
| Do CLAHE Contrast-limited adaptive histogram equalization for the XY plane of the dataset for the currently shown or all slices.
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file | ib_contrastNormalizationMemoryOptimized.m |
| Normalize contrast between the layers of the dataset.
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file | ib_dilateSelection.m |
| Dilate (expand) the Selection layer in 2D or 3D.
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file | ib_doImageFiltering.m |
| Filter image with basic Matlab filters.
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file | ib_erodeSelection.m |
| Erode (shrink) the Selection layer in 2D or 3D.
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file | ib_fillMembranes.m |
| Fill holes between the slices for the same object.
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file | ib_imageMorphOpsGui.m |
| ib_imageMorphOpsGui function is responsible for morphological operations done with images.
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file | ib_linearContrast.m |
| Linear Contrast adjustment for all or only shown image(s)
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file | ib_MorphOpsGui.m |
| IB_MORPHOPSGUI MATLAB code for ib_MorphOpsGui.fig IB_MORPHOPSGUI, by itself, creates a new IB_MORPHOPSGUI or raises the existing singleton*.
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file | ib_removeBackground.m |
| Remove background of the image.
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file | ib_smoothImage.m |
| Smooth Mask , Selection or Model layer.
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file | ib_watershedGui.m |
| ib_watershedGui function is responsible for watershed operations.
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file | ManGridBW.m |
| ManGridBW function allows to perform black and white thresholding of the image using the small blocks. In each of these blocks the image is thresholded with own coefficient.
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