From e832dbd3f182414e435dc6779317087c1708e4cf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Rostislav=20L=C3=A1n?= Date: Fri, 14 Apr 2023 09:15:36 +0200 Subject: [PATCH] Fixed readme --- README.md | 95 +++++++++++++++++++++++++++++++------------------------ 1 file changed, 54 insertions(+), 41 deletions(-) diff --git a/README.md b/README.md index 17bd536..c565a3d 100644 --- a/README.md +++ b/README.md @@ -133,65 +133,78 @@ All the filters used and their parameters are described below. ## Available filters with parameters --median blur - -ksize - Kernel size (int) +- median blur --gaussian blur - -sigma - Gaussian kernel standart deviation (int) + - ksize - Kernel size (int) --bilateral blur - -diameter - Diameter of pixel neighborhood used for filtering (int) - -sigmaColor - Standard deviation for grayvalue/color distance (int) - -sigmaSpace - Standard deviation for range distance in pixels (int) +- gaussian blur --bilateral_scikit - -sigmaColor - Standard deviation for grayvalue/color distance (float) - -sigmaSpace - Standard deviation for range distance in pixels (float) + - sigma - Gaussian kernel standart deviation (int) --nlmeans (non-local means) - -patch_size - Size of patches used for denoising (int) - -patch_distance - Distance in pixels where to search for patches (int) - -h - Cut-off distance, higher means more smoothed image (float) +- bilateral blur --total_variation - -weight - Denoising weight. (float) + - diameter - Diameter of pixel neighborhood used for filtering (int) + - sigmaColor - Standard deviation for grayvalue/color distance (int) + - sigmaSpace - Standard deviation for range distance in pixels (int) --block_match - -sigma - ? (?) +- bilateral_scikit --unsharp mask scikit - -radius - Radius of the gaussian filter (int) - -amount - Strength of the unsharp mask (float) + - sigmaColor - Standard deviation for grayvalue/color distance (float) + - sigmaSpace - Standard deviation for range distance in pixels (float) + +- nlmeans (non-local means) + + - patch_size - Size of patches used for denoising (int) + - patch_distance - Distance in pixels where to search for patches (int) + - h - Cut-off distance, higher means more smoothed image (float) + +- total_variation + + - weight - Denoising weight. (float) + +- block_match + + - sigma - ? (?) + +- unsharp mask scikit + + - radius - Radius of the gaussian filter (int) + - amount - Strength of the unsharp mask (float) --farid +- farid + +- meijering + +- sato + +- hessian + + - sigmas - ? (float) + +- invert --meijering +- scale_values --sato +- binarize --hessian - -sigmas - ? (float) + - threshold - value to cut differentiate pixels (int) + - maxval - maximal value (int) ?? + - type - ? (str) --invert +- binarize_otsu --scale_values +- add_margin --binarize - -threshold - value to cut differentiate pixels (int) - -maxval - maximal value (int) ?? - -type - ? (str) + - margin - number of pixels to add to the sides of the image (int) + - color - color value of newly added pixels (int) --binarize_otsu +- erode --add_margin - -margin - number of pixels to add to the sides of the image (int) - -color - color value of newly added pixels (int) + - kernel - kernel shape (numpy.matrix) --erode - -kernel - kernel shape (numpy.matrix) +- dilate --dilate - -kernel - kernel shape (numpy.matrix) + - kernel - kernel shape (numpy.matrix) # Comparison