Dynamic Granularity Matrix Space Based Adaptive Edge Detection Method for Structured Light Stripes

Algorithm 1

Adaptive edge detection iterative algorithm.

Input: Input image F, max iteration t=200, populations size G=8, member size Ms=10.

Output: Segmented image ;

Begin

 . Based on of DGS model, obtain the hierarchical structure of the image;

 . Compute the optimal granularity layer;

 . Calculate the 2D segmentation threshold;

     for  it =1  to  t  do

       Use QGH algorithm to solve image segmentation threshold;

        if maximum iterations t is researched, stop.

     End

 . The segmentation threshold of the image is obtained through the above steps.

 . Taken as the adaptive threshold for Canny operator, and get the segmented image, .

end