detectorhr.m

图像对齐（inage registration）工具箱

function [IMP_POINTS,RESULT]=detectorHR(IMAGE, sg, n, halfSurSize,typ)

% detects significant points using the Harris' method 
%			[IMP_POINTS,RESULT]=detectorHR(IMAGE, r, n, halfSurSize)
%
% IMP_POINTS: 0-1-array which indicates the found (important) points (1)
% RESULT: original image overlayed with the important points
% IMAGE: the image to be processed
% sg: size (1,1). Standard deviation of the gaussian window of the operator.
%     if omitted, sg = 1.
% n: number of important points
% halfSurSize: half of the size of the surroundings of a maximum where no other
%              maximum should be found
% typ: determines the way how the corners are found

[q1,q2,q3]=interest(IMAGE,sg);


switch typ
	case 1, IMP_POINTS=choseImpPointsWithoutZeros(IMAGE,q1,n,halfSurSize);
	case 2, IMP_POINTS=choseImpPointsWithoutZeros(IMAGE,q1.*q2,n,halfSurSize);
	otherwise, IMP_POINTS=choseImpPointsWithoutZeros(IMAGE,q3,n,halfSurSize);
end;

RESULT=IMAGE+200*IMP_POINTS;