nonmaxsuppts.m

这是<<Matlab在图像处理中的应用>>这本书的源码

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% NONMAXSUPPTS - Non-maximal suppression for features/corners
% Non maxima suppression and thresholding for points generated by a feature
% or corner detector.
function [r,c, rsubp, csubp] = nonmaxsuppts(cim, radius, thresh, im)
    v = version; Octave = v(1)< '5';     % Crude Octave test    
    subPixel = nargout == 4;            % We want sub-pixel locations    
    [rows,cols] = size(cim);
    sze = 2*radius+1;                   % Size of dilation mask.
    mx = ordfilt2(cim,sze^2,ones(sze)); % Grey-scale dilate.
    % Make mask to exclude points within radius of the image boundary. 
    bordermask = zeros(size(cim));
    bordermask(radius+1:end-radius, radius+1:end-radius) = 1;
    % Find maxima, threshold, and apply bordermask
    cimmx = (cim==mx) & (cim>thresh) & bordermask;
    [r,c] = find(cimmx);                % Find row,col coords.
    if subPixel        % Compute local maxima to sub pixel accuracy  
	if ~isempty(r) % ...if we have some ponts to work with
	ind = sub2ind(size(cim),r,c);   % 1D indices of feature points
	w = 1;         % Width that we look out on each side of the feature
                       % point to fit a local parabola
	% Indices of points above, below, left and right of feature point
	indrminus1 = max(ind-w,1);
	indrplus1  = min(ind+w,rows*cols);
	indcminus1 = max(ind-w*rows,1);
	indcplus1  = min(ind+w*rows,rows*cols);
	% Solve for quadratic down rows
	cy = cim(ind);
	ay = (cim(indrminus1) + cim(indrplus1))/2 - cy;
	by = ay + cy - cim(indrminus1);
	rowshift = -w*by./(2*ay);       % Maxima of quadradic
	% Solve for quadratic across columns	
	cx = cim(ind);
	ax = (cim(indcminus1) + cim(indcplus1))/2 - cx;
	bx = ax + cx - cim(indcminus1);    
	colshift = -w*bx./(2*ax);       % Maxima of quadradic
	rsubp = r+rowshift;  % Add subpixel corrections to original row
	csubp = c+colshift;  % and column coords.
	else
        rsubp = []; csubp = [];
	end
    end