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diff --git a/macros/detectMinEigenFeatures.sci b/macros/detectMinEigenFeatures.sci
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+function [cornerPoints]=detectMinEigenFeatures(image,varargin)
+// This function is used to find corner points in an image using Minimum Eigen Value algorithm.
+//
+// Calling Sequence
+// points = detectMinEigenFeatures(I);
+// points = detectMinEigenFeatures(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
+//
+// 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 = detectMinEigenFeatures(I);
+//
+// Authors
+//  Rohit Suri
+//  Sridhar Reddy
+
+    [lhs rhs]=argn(0);
+    if lhs>1
+         error(msprintf(" Too many output arguments"));
+    elseif rhs>7
+        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_detectMinEigenFeaturess(imageList);
+        case 2 then
+            [location metric count]=opencv_detectMinEigenFeatures(imageList,varargin(1),varargin(2));
+        case 4 then
+            [location metric count]=opencv_detectMinEigenFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4));
+        case 6 then
+            [location metric count]=opencv_detectMinEigenFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6));
+    end
+    //disp(count(1,1));
+    cornerPoints=struct('Type','cornerPoints','Location',location,'Metric',metric,'Count',count);
+    //for i=1:count(1,1)
+      //  cornerPoints(i)=struct('Type','cornerPoints','Location',location(i,:),'Metric',metric(i,:),'Count',1);
+    //end
+endfunction