freeware http://www.iamas.ac.jp/~jovan02/cv/download.html			cv.jit is a collection of max/msp/jitter tools for computer vision applications. The goals of this project are to provide externals and abstractions to assist users in tasks such as image segmentation, shape and gesture recognition, motion tracking, etc. as well as to provide educational tools that outline the basics of computer vision techniques.
page : 1 2 3
cv.jit.perimeter	Abstraction		Counts the number of edge pixels.
cv.jit.poltocar	Abstraction		Treats the data in two matrices as polar coordinates and translates to cartesian data.
cv.jit.ravg	External		Calculates the running average of a matrix over time.
cv.jit.resize	External		Anti-aliased matrix resize
cv.jit.shapeinfo	External		This abstraction uses cv.jit.moments to derive more shape descriptors that are easy to understand and useable as is.
cv.jit.shift	External		Track image regions using MeanShift and CAMShift algorithms.
cv.jit.shift.draw	Abstraction		Visualization utility for cv.jit.shift.
cv.jit.stddev	External		Computes the standard deviation of the incoming matrices.
cv.jit.sum	External		Adds the value of all the cells in each plane and outputs the result in a list. Accepts any data type or planecount.
cv.jit.threshold	External		Adaptive thresholding.
cv.jit.touches	Abstraction		Track greyscale/binary image regions.
cv.jit.touches.draw	Abstraction		Visualize the output of cv.jit.touches.
cv.jit.track	External		Tracks the position of a number of pixels over time.
cv.jit.track.draw	Abstraction		Visualize output of cv.jit.track.
cv.jit.trackgroup	External		This object is used to manage the input and output of cv.jit.track.
cv.jit.trackpoints	External		This external only accepts the 3-plane float matrices output from cv.jit.track.
cv.jit.undergrad	Abstraction		Performs simple pattern recognition on incoming lists.
cv.jit.variance	External		Calculates the variance of the input matrices. The variance is defined as the average of the square of the sample values minus the mean.
page : 1 2 3