Hit and miss transformation. Hit and miss array masks must not overlap.

 

function call:

[out_img1]=vsg('HitAndMiss',in_img1,conv_arr1,conv_arr2);

 

Arguments:

in_img1 mask image, 3 channel RGB, 1 channel greyscale or binary image, or DICOM image.

conv_arr1 – the “hit” array specifying the mask with which the input image will be processed.

conv_arr2 – the “miss” array specifying the mask with which the input image will be processed.

Description:

The HitAndMiss morphological transform is used to select pixels with certain geometric properties (e.g. corners) while ignoring others.

out_img1 – An image which has dimensions the same as the input image. This is the result of finding the “hit” and “miss values.

 

Example:

img = imread('A.jpg');

[out_img1]=vsg('Threshold',img,100);

h=figure;image(uint8(out_img1));set(h,'Name','Threshold');

H1 = [0,1,0;

      0,1,1;

      0,0,0];

H2 = [0,0,0;

      1,1,0;

      0,1,0];    

H3 = [0,1,0;

      1,1,0;

      0,0,0];

H4 = [0,0,0;

      0,1,1;

      0,1,0];

M1 =[0,0,0;

     1,0,0;

     1,1,0];  

M2 =[0,1,1;

     0,0,1;

     0,0,0];     

M3 =[0,0,0;

     0,0,1;

     0,1,1];

M4 =[1,1,0;

     1,0,0;

     0,0,0];

[out_img2]=vsg('HitAndMiss',out_img1,H1,M1);

[out_img3]=vsg('HitAndMiss',out_img1,H2,M2);

[out_img4]=vsg('HitAndMiss',out_img1,H3,M3);

[out_img5]=vsg('HitAndMiss',out_img1,H4,M4);

[out_img6]=vsg('OR',out_img2,out_img3);

[out_img6]=vsg('OR',out_img6,out_img4);

[out_img6]=vsg('OR',out_img6,out_img5);

h=figure;image(uint8(out_img6));set(h,'Name','HitAndMiss');

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