xmyyzy123/cytology_image_segment

Phansalkar Threshold Method in C++: using the Phansalkar method to segment carbon black particles in cytology images

Phansalkar Threshold Method in C++

The Phansalkar method is described in Adaptive local thresholding for detection of nuclei in diversity stained cytology images , is also introduced in an Auto Local Threshold plugin in ImageJ.

Using the Phansalkar method to segment carbon black particles in cytology images:

1. First, split original image into three channels(R, G, B).

2. Blue Channel image which is easier to be segmented as input for the Phansalkar method.

3. The segment effect is as follows:

   • high density

     

     

   • low density

     

     

Environment:

• Visual Studio 2015
• OpenCV 4.5.1

Reference:

• https://www.researchgate.net/publication/224226466_Adaptive_local_thresholding_for_detection_of_nuclei_in_diversity_stained_cytology_images

• https://github.com/fiji/Auto_Local_Threshold/blob/master/src/main/java/fiji/threshold/Auto_Local_Threshold.java

• https://stackoverflow.com/questions/11456565/opencv-mean-sd-filter