Description
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 25×15, then for an unknown character window, C, of size MxN, determine a
fitness measure based on the formula:
| T == C |
MN
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 (25×15 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
% Fall 2019
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 (3×3 array): perspective transform matrix
% Call:
% T = CS4640_persp_t(pts1,pts2);
% Author:
% <Your name>
% UU
