[image detection] image target size measurement system based on morphology with matlab code

1 brief introduction

This paper introduces a kind of object appearance dimension detection system based on machine vision technology ., The longitudinal diameter of grapefruit was obtained by digital image processing technology , Transverse diameter , Surface area and other appearance dimension parameters .

2 Part of the code

coin_width=1.1000;coin_height=1.1000;I=imread('666.jpg');figure(1),imshow(I);title(' Original image ');% Convert to grayscale image I1=rgb2gray(I);%figure(2);imshow(I1);title(' Grayscale image ');sigma = 1;gausFilter=fspecial('gaussian',[5 5],sigma);I2= imfilter(I1, gausFilter, 'replicate');%figure(2);imshow(I2);title(' Gaussian filtered image ');ength/coin_height; pixels_width_rate=width/coin_width;​:num    [r c]=find(labelpic==v);    [rectx,recty,area,perimeter]=minboundrect(c,r,'p');    [length width] = minboxing(rectx(1:end-1),recty(1:end-1));     %  Draw the target detection box     line(rectx,recty,'color','y','linewidth',2);             midpointx(1)=(rectx(1)+rectx(2))/2;             midpointx(2)=(rectx(3)+rectx(4))/2;             midpointx(3)=(rectx(2)+rectx(3))/2;             midpointx(4)=(rectx(4)+rectx(1))/2;​             midpointy(1)=(recty(1)+recty(2))/2;             midpointy(2)=(recty(3)+recty(4))/2;             midpointy(3)=(recty(2)+recty(3))/2;             midpointy(4)=(recty(4)+recty(1))/2;      %  Draw the line between the midpoint of the length and width of the target      line(midpointx,midpointy,'color','m','linewidth',2);     target_float_length=length/pixels_length_rate;     target_length=num2str(target_float_length);     target_float_width=width/pixels_width_rate;     target_width=num2str(target_float_width);          %  Display the length and width information of the target object      if((rectx(2)-rectx(1))<=(recty(2)-recty(1)))         text(midpointx(1),midpointy(1)-10,target_length,'Color','white');         text(midpointx(3)+10,midpointy(3),target_width,'Color','white');     else         text(midpointx(1),midpointy(1)-10,target_width,'Color','white');         text(midpointx(3)+10,midpointy(3),target_length,'Color','white');     end end

3 Simulation results

4 reference

[1] Wang Juan , Zhoujinzhi . be based on Matlab Research on morphological image processing based on [J]. Modern communication : The second half of the month , 2010.

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