Visualization to help choose sigmas for meanShiftIm.
Displays the original image I, and prompts user to select a point on the
image. For given point, calculates the distance (both spatial and range)
to every other point in the image. It shows the results in a number of
panes, which include 1) the original image I, 2) Srange - similarity
based on range only, 3) Seuc - similarity based on Euclidean distance
only, and 4) overall similarity. Finally, in each image the green dot
(possibly occluded) shows the original point, and the blue dot shows the
new mean of the window after 1 step of meanShift.
USAGE
meanShiftImExplore( I, X, sigSpt, sigRng, [show] )
INPUTS
I - MxN image for display
X - MxNxP data array, P may be 1 (X may be same as I)
sigSpt - integer specifying spatial standard deviation
sigRng - value specifying the standard deviation of the range data
show - [1] will display results in figure(show)
OUTPUTS
EXAMPLE
I=double(imread('cameraman.tif'))/255;
meanShiftImExplore( I, I, 5, .2, 1 );
See also MEANSHIFTIM
Piotr's Computer Vision Matlab Toolbox Version 2.0
Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
Licensed under the Simplified BSD License [see external/bsd.txt]