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Diffstat (limited to 'macros/detectHarrisFeatures.sci')
| -rw-r--r-- | macros/detectHarrisFeatures.sci | 52 |
1 files changed, 52 insertions, 0 deletions
diff --git a/macros/detectHarrisFeatures.sci b/macros/detectHarrisFeatures.sci new file mode 100644 index 0000000..f4792f7 --- /dev/null +++ b/macros/detectHarrisFeatures.sci @@ -0,0 +1,52 @@ +function [cornerPoints]=detectHarrisFeatures(image,varargin) +// This function is used to find corner points in an image using Harris algorithm. +// +// Calling Sequence +// points = detectHarrisFeatures(I); +// points = detectHarrisFeatures(I, Name, Value, ...); +// +// Parameters +// points: Structure of corner points +// I: Input image to detectHarrisFeatures() +// MinQuality: (Optional) Minimum accepted quality of corners (Default- 0.01) +// FilterSize: (Optional) Dimension of Gaussian Filter (Default: 5) +// ROI: (Optional) Rectangular region for corner detection +// SensitivityFactor: (Optional) SensitivityFactor of Harris algorithm (Default- 0.04) +// +// Description +// This function detects corners in an image I. These corner points are used to extract features and hence recognize the contents of an image. +// +// Examples +// I = imread('sample.jpg'); +// points = detectHarrisFeatures(I); +// +// Authors +// Rohit Suri +// Sridhar Reddy + + [lhs rhs]=argn(0); + if lhs>1 + error(msprintf(" Too many output arguments")); + elseif rhs>9 + error(msprintf(" Too many input arguments")); + elseif modulo(rhs,2)==0 + error(msprintf("Either Argument Name or its Value missing")); + end + imageList=mattolist(image); + select rhs-1 + case 0 then + [location metric count]=opencv_detectHarrisFeatures(imageList); + case 2 then + [location metric count]=opencv_detectHarrisFeatures(imageList,varargin(1),varargin(2)); + case 4 then + [location metric count]=opencv_detectHarrisFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4)); + case 6 then + [location metric count]=opencv_detectHarrisFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6)); + case 8 then + [location metric count]=opencv_detectHarrisFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6),varargin(7),varargin(8)); + end + cornerPoints=struct('Type','cornerPoints','Location',location,'Metric',metric,'Count',count); + //for i=1:count(1,1) + // cornerPoints(i)=struct('Location',location(i,:),'Metric',metric(i,:),'Count',1); + //end +endfunction |