1. Use image chars45.jpg to study shape analysis using character templates for the charac-ters:
A,B,C,D,E,F,G,H,I,K,L,M,N,O,R,S,T,U,V,Y
a,c,d,e,f,g,h,i,k,l,m,n,o,p,r,s,t,u,v,y
0,1,2,3,4,5,6,7,8,9
Use a character from the image as a template, T, for each character above. Suppose the template is 25x15, then for an unknown character window, C, of size MxN, determine a fitness measure based on the formula:
|T ==C|
M N
Write a character classification function, CS4640 char template, which returns the mea-sure. Use the function to classify all characters in the image. Describe performance results per character and overall. State which connected components were used as character tem-plates.
function m = CS4640_char_template(T,C)
• CS4640_char_template - measure similarity of template and character
• On input:
• T (25x15 binary array): character template
• C (MxN binary array): input test character
• On output:
• m (float): distance measure between template and test character
1
• Call:
• m = CS4640_char_template(T_A,cc);
• Author:
• <Your name>
• UU
•
2. Develop a character classification scheme based on the Procrustes method. Use the same templates as in 1, and find a way to get a robust starting point. Then use bwboundarytrace to get the boundary points. Coerce them to be the same length as the template (use 75 pixels). Then use the D output from Matlab procrustes function as a distance measure. Report performance per character and overall.
3. Develop a Matlab function, CS4640 persp t, to find the perspective transform between two point sets. Demonstrate it on the licences plate example from the text. Use point dis-tance squared for corresponding points as the measure of performance and give results on a set of known transformations (e.g., specify a set of points, specify a perspective transform, transform the points, use the function to find the transform and compare both the transforms and the transformed points.
function T = CS4640_persp_t(pts1,pts2)
• CS4640_persp_t - find perspective transform between pts1 and pts2
• On input:
• pts1 (Nx2 array): first set of 2D points
• pts2 (Nx2 array): second set of 2D points
• On output:
• T (3x3 array): perspective transform matrix
• Call:
• T = CS4640_persp_t(pts1,pts2);
• Author:
• <Your name>
• UU
•
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