diff options
Diffstat (limited to 'macros/detectMSERFeatures.sci')
| -rw-r--r-- | macros/detectMSERFeatures.sci | 57 |
1 files changed, 57 insertions, 0 deletions
diff --git a/macros/detectMSERFeatures.sci b/macros/detectMSERFeatures.sci new file mode 100644 index 0000000..9e1377a --- /dev/null +++ b/macros/detectMSERFeatures.sci @@ -0,0 +1,57 @@ +function [regions]=detectMSERFeatures(image,varargin) +// This function is used to detect MSER features +// +// Calling Sequence +// list_pixels = detectMSERFeatures(image, Name, Value... ) +// [list_pixels Count Location Axes Orientation] = detectMSERFeatures(image, Name, Value... ) +// +// Parameters +// Image: Input Image, should be a 2-D grayscale. The Input Image should be real +// ThresholdDelta [Optional Input Argument]: Step Size between intensity to be checked for measurement of stability. Values: Percentage numeric value. Default: 2.0 +// RegionAreaRange [Optional Input Argument]: Size of the region in Pixels specified as [minArea maxArea]. Default Value: [30 14000] +// ROI [Optional Input Argument]: Specify a rectangular region of operation. Format [ x y width height ]. Default: [1 1 size(Image,2) size(Image,1)] +// MaxAreaVariation [Optional Input Argument]: Maximum Area Variation between external regions at varying thresholds for determination of stability. Values in range of (0,1]. Default 0.25 +// list_pixels: Array of point coordinates for detected regions +// Location: A M-by-2 Matrix of [x y] coordinates of centroid of the ellipsoidal fit to the region +// Count: Count of the number of stable regions detected +// Axes: A M-by-2 Matrix of [majorAxis minorAxis] values for each ellipsoidal fit to the detected regions +// Orientation: A M-by-1 Vector containing the angle of orientation of the ellipsoidal fit in the range of [-pi/2 +pi/2] radians +// +// Description +// This function is used to detect the MSER regions, and also the corresponding ellipsoidal fit to the detected regions. +// +// Examples +// image = imread('sample.jpg'); +// [regions] = detectMSERFeatures(image); +// +// With Optional Arguments: +// [regions location axes] = detectMSERFeatures(image, "ThresholdDelta", 10.0) +// +// Authors +// Umang Agrawal +// Sridhar Reddy + + [lhs rhs]=argn(0); + if rhs>9 + 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 + [pixelIdxList count location axes orientation]=opencv_detectMSERFeatures(imageList); + case 2 then + [pixelIdxList count location axes orientation]=opencv_detectMSERFeatures(imageList,varargin(1),varargin(2)); + case 4 then + [pixelIdxList count location axes orientation]=opencv_detectMSERFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4)); + case 6 then + [pixelIdxList count location axes orientation]=opencv_detectMSERFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6)); + case 8 then + [pixelIdxList count location axes orientation]=opencv_detectMSERFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6),varargin(7),varargin(8)); + end + //for i=1:size(pixelIdxList) + // regions(i)=struct('Count',1,'Location',location(i,:),'Axes',axes(i,:),'Orientation',orientation(i,:),'PixelIdxList',pixelIdxList(i)); + //end + regions=struct('Type','MSERObject','Count',count,'Location',location,'Axes',axes,'Orientation',orientation,'PixelIdxList',pixelIdxList), +endfunction |