Previous commit also added capability to generate BIFs from colour im…

…ages. These are converted to greyscale internally before generating BIFs. This commit amends documentation to reflect this.

@mtBifs/mtBifs.m

@@ -47,11 +47,11 @@
     %% Public instance methods
     methods (Access = public)
         function obj = mtBifs(inputImage, blurWidth, flatnessThreshold) 
-        % Creates a BIF object from a 2D greyscale image.
+        % Creates a BIF object from a 2D image.
         %
         % INPUTS:
-        % inputImage: 2D greyscale image for which to generate BIFs. Values can
-        %             be in any range, but input must be 2D image.
+        % inputImage: 2D image for which to generate BIFs. Image can be greyscale
+        %             (colour images are converted to greyscale to generate BIFs).
         % blurWidth: Standard deviation of Gaussian used to generate BIF filters.
         % flatnessThreshold: Threshold for 'flat' bif class. Zeroth order BIF response
         %     is multiplied by this threshold factor. The higher the flatness threshold

README.md

@@ -11,7 +11,7 @@ Type `mtDemoBifLab` at the Matlab command line to display demonstration images
 and their associated BIFs
 
 ### Generate BIFs
-Generate BIFs from a **greyscale** image using `bifs = mtBifs(inputImage, blurWidth, flatnessThreshold)`
+Generate BIFs from an image using `bifs = mtBifs(inputImage, blurWidth, flatnessThreshold)`
 
 `blurWidth` (σ in the reference papers) sets the scale of the features that the BIFs detect. It is the 
 standard deviation of the gaussian derivative filters used to