gusucode.com > vision工具箱matlab源码程序 > vision/@gpuArray/detectHarrisFeatures.m
function pts = detectHarrisFeatures(I,varargin) %detectHarrisFeatures Find corners using the Harris-Stephens algorithm % points = detectHarrisFeatures(I) returns a cornerPoints object, points, % containing information about the feature points detected in a 2-D % grayscale gpuArray image I. % % points = detectHarrisFeatures(I,Name,Value) specifies additional % name-value pair arguments described below: % % 'MinQuality' A scalar Q, 0 <= Q <= 1, specifying the minimum accepted % quality of corners as a fraction of the maximum corner % metric value in the image. Larger values of Q can be used % to remove erroneous corners. % % Default: 0.01 % % 'FilterSize' An odd integer, S >= 3, specifying a Gaussian filter % which is used to smooth the gradient of the image. % The size of the filter is S-by-S and the standard % deviation of the filter is (S/3). % % Default: 5 % % 'ROI' A vector of the format [X Y WIDTH HEIGHT], specifying % a rectangular region in which corners will be detected. % [X Y] is the upper left corner of the region. % % Default: [1 1 size(I,2) size(I,1)] % % Class Support % ------------- % The input image I can be a gpuArray with underlying types of logical, % uint8, int16, uint16, single, or double, and it must be real. % % Example % ------- % % Find and plot corner points in an image. % I = gpuArray(imread('cameraman.tif')); % cornersGPU = detectHarrisFeatures(I); % imshow(I); hold on; % plot(cornersGPU.selectStrongest(50)); % % % copy the corner points back off the GPU for further processing. % cornersCPU = gather(cornersGPU); % % See also cornerPoints, detectMinEigenFeatures, detectFASTFeatures, % detectBRISKFeatures, detectSURFFeatures, detectMSERFeatures, % extractFeatures, matchFeatures, gpuArray % Reference % --------- % C. Harris and M. Stephens. "A Combined Corner and Edge Detector." % Proceedings of the 4th Alvey Vision Conference. August 1988, pp. 147-151. % Copyright 2014-2015 The MathWorks, Inc. pts = vision.internal.detector.harrisMinEigen('Harris', I, varargin{:});