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(Solved): Problem 1: Template Matching Description: Template matching is an image processing technique for f ...



Problem 1: Template Matching
Description:
Template matching is an image processing technique for finding parts of a source imThe algorithm consists of sliding the template image across the source image, column by column, row by
row. At every coordinalaunching the threads. For fair comparison, calculate an average (~3) of the execution times for
each test case. Either singl

Problem 1: Template Matching Description: Template matching is an image processing technique for finding parts of a source image which match a predefined template image. Figure 1 gives an algorithm implementation of this technique tailored for the type of images to be used in this task implementation. The steps of the algorithm are given in a Matlab like pseudo code. main: im1= read_image(Templatelmage); im2=read_image(Sourcelmage); % apply template matching result-template_matching(im1,im2); display im1, im2, result template_matching: result-template_matching(Templatelmage,Sourcelmage): [r1, c1]=size(Sourcelmage); [r2, c2]=size(Templatelmage); TempSize=r2*c2; Minimum=1000000; % Correlation Matrix for i=1:(r1-r2+1) for j=1:(c1-c2+1) Nimage=Target(i:i+r2-1,j;j+c2-1); corr=sum(sum(abs(Nimage-Template)))/TempSize; corrMat(i,j)=corr; if corr


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