minipuding / image-processing Goto Github PK

A simple image processing app (emm..., it is also a homework...). There are four page including,

• Threshold, like Otsu, Entropy

• Filters, like classical edge operators (sobel, prewitt, robert), classical filters (mean filter, median filter, gaussian filter), you can define the filter by youself.

• Morphological Operations, like dilation, erosion, opening and closing for both binary image and grascale image. You can change the structure element shape, size and origin even defined by youself.

• Morphological Functions, like distance transform, skeleton extraction, distance reconstruction, edge detection by morphological methods and conditional dilation for binary image. There are also morphological reconstruction and gradient detection for grayscale image.

• Input image

• export result image

• send to other pages

• show threshold image

• show histgram

• apply Otsu algorithm

• apply Entropy algorithm

• apply roberts operation and show them

• apply prewitt operation and show them

• apply sobel operation and show them

• apply mean filter, change filter size and show them

• apply median filter, change filter size and show them

• apply gaussian filter, change filter size, change sigma and show them

• apply user defined filter, change size and show them

• apply dilation operation

• apply erosion operation

• apply opening operation

• apply closing operation

• change shape of structure element and show

• change origin of structure element and show

• change size (width and height) of structure element and show

• show result with colorful difference (checkbox -- 'Show Diff')

• apply distance transform with chess coard, city block and Euclidian

• apply skeleton extraction with animation

• apply skeleton reconstruction

• apply edge detection with external, internal and standard

• apply morphological reconstruction for binary image (conditional dilation)

• apply morphological reconstruction for grayscale image (opening by reconstruction, OBR or closing by reconstruction, CBR)

• apply gradient extraction with internal gradient and external gradient.