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function [cornerPoints]=detectFASTFeatures(image,varargin)
// This function is used to detect the corner points using FAST Alogrithm
//
// Calling Sequence
// [ Location Count Metric ] = detectFASTFeatures( Image, Name, Value... )
//
// Parameters
// Image: Input Image, should be a 2-D grayscale. The Input Image should be real
// MinQuality [Optional Input Argument]: Minimum Accepted Quality of Corners, can be specified as a scalar value between [0,1]. Default: 0.1
// MinContrast [Optional Input Argument]: Minimum Intensity difference for Corners to be detected, can be specified as a scalar value between[0,1]. Default: 0.2
// ROI [Optional Input Argument]: Specify a rectangular region of operation. Format [ x y width height ]. Default: [1 1 size(Image,2) size(Image,1)]
// Location: Set of x,y coordinates for the deteccted points
// Count: Number of corner points detected
// Metric: Value describing the strength of each detected Point
//
// Description
// The detectFASTFeatures function uses the Features from Accelerated Segment Test (FAST) algorithm to find feature points.
//
// Examples
// image = imread('sample.jpg');
// [location count metric] = detectFastFeatures(image);
//
// With Optional Arguments:
// [location count metric] = detectFASTFeatures(image,"MinContrast",0.2);
//
// Authors
// Umang Agrawal
// Sridhar Reddy
[lhs rhs]=argn(0);
if lhs>3
error(msprintf(" Too many output arguments"));
elseif rhs-1>6
error(msprintf(" Too many input arguments"));
elseif modulo(rhs-1,2)<>0
error(msprintf("Either Argument Name or its Value missing"));
end
imageList=mattolist(image);
select rhs-1
case 0 then
[location count metric]=opencv_detectFASTFeatures(imageList);
case 2 then
[location count metric]=opencv_detectFASTFeatures(imageList,varargin(1),varargin(2));
case 4 then
[location count metric]=opencv_detectFASTFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4));
case 6 then
[location count metric]=opencv_detectFASTFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6));
end
cornerPoints=struct('Type','cornerPoints','Location',location,'Metric',metric,'Count',count);
//for i=1:count
// cornerPoints(i)=struct('Location',location(i,:),'metric',metric(i,:),'Count',1);
//end
endfunction
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