Fixed readme

README.md

@@ -133,65 +133,78 @@ All the filters used and their parameters are described below.
 
 ## Available filters with parameters
 
--median blur
+- median blur
-    -ksize - Kernel size (int)
 
--gaussian blur
+    - ksize - Kernel size (int)
-    -sigma - Gaussian kernel standart deviation (int)
 
--bilateral blur
+- gaussian 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)
 
--bilateral_scikit
+    - sigma - Gaussian kernel standart deviation (int)
-    -sigmaColor - Standard deviation for grayvalue/color distance (float)
-    -sigmaSpace - Standard deviation for range distance in pixels (float)
 
--nlmeans (non-local means) 
+- bilateral blur
-    -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
+    - diameter - Diameter of pixel neighborhood used for filtering (int)
-    -weight - Denoising weight. (float)
+    - sigmaColor - Standard deviation for grayvalue/color distance (int)
+    - sigmaSpace - Standard deviation for range distance in pixels (int)
 
--block_match 
+- bilateral_scikit
-    -sigma - ? (?)
 
--unsharp mask scikit
+    - sigmaColor - Standard deviation for grayvalue/color distance (float)
-    -radius - Radius of the gaussian filter (int)
+    - sigmaSpace - Standard deviation for range distance in pixels (float)
-    -amount - Strength of the unsharp mask (float)
 
--farid
+- nlmeans (non-local means) 
 
--meijering
+    - 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)
 
--sato
+- total_variation
 
--hessian
+    - weight - Denoising weight. (float)
-    -sigmas - ? (float)
 
--invert
+- block_match 
 
--scale_values
+    - sigma - ? (?)
 
--binarize
+- unsharp mask scikit
-    -threshold - value to cut differentiate pixels (int)
-    -maxval - maximal value (int) ??
-    -type - ? (str)
 
--binarize_otsu
+    - radius - Radius of the gaussian filter (int)
+    - amount - Strength of the unsharp mask (float)
     
--add_margin
+- farid
-    -margin - number of pixels to add to the sides of the image (int)
-    -color - color value of newly added pixels (int)
 
--erode
+- meijering
-    -kernel - kernel shape (numpy.matrix)
 
--dilate
+- sato
-    -kernel - kernel shape (numpy.matrix)
+
+- hessian
+
+    - sigmas - ? (float)
+
+- invert
+
+- scale_values
+
+- binarize
+
+    - threshold - value to cut differentiate pixels (int)
+    - maxval - maximal value (int) ??
+    - type - ? (str)
+
+- binarize_otsu
+
+- add_margin
+
+    - margin - number of pixels to add to the sides of the image (int)
+    - color - color value of newly added pixels (int)
+
+- erode
+
+    - kernel - kernel shape (numpy.matrix)
+
+- dilate
+
+    - kernel - kernel shape (numpy.matrix)
 
 # Comparison