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Home > Libraries > C > cv.jit > author : Jean-Marc Pelletier

 
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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.
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cv.jit.elongation Abstraction Estimates how thin a shape is.

cv.jit.erode External This operation does somewhat the opposite of "dilate".

cv.jit.faces External Finds human faces in an image.

cv.jit.faces.draw Abstraction Visualize output of cv.jit.faces.

cv.jit.features External Finds areas of high contrast, pixels that are easy to track.

cv.jit.features.draw Abstraction Visualize output of cv.jit.features.

cv.jit.features2track External Initialize cv.jit.track to easiest pixels to track.

cv.jit.floodfill External The floodfill algorithm takes a pixel coordinate specified by the "seed" attributes and checks the value of that pixel.

cv.jit.flow.draw Abstraction Visualize optical flow.

cv.jit.framesub Abstraction Difference between consecutive frames.

cv.jit.grab Abstraction Wrapper for jit.qt.grab/jit.dx.grab.

cv.jit.hough External Compute Hough space.

cv.jit.hough2lines Abstraction Find straight lines in Hough space.

cv.jit.HSflow External Estimates the optical flow using the Horn-Schunk method.

cv.jit.label External This algorithm scans through the image and gives each connected component an individual value.

cv.jit.learn External Performs pattern analyis and recognition on an incoming list.

cv.jit.lines External Finds straight lines in a greyscale image.

cv.jit.lines.draw Abstraction Visualize output of cv.jit.lines.

cv.jit.LKflow External Estimates the optical flow using the Lucas-Kanade method.

cv.jit.mass External This simple external returns the number of ON pixels in a binary image.

cv.jit.mean External Computes the mean value of each pixel over time.

cv.jit.moments External Apart from returning centroids and mass, it outputs two lists of shape descriptors.

cv.jit.open External An "open" operation is simply an "erode" followed by a "dilate".

cv.jit.opticalflow External Calculate optical flow using a variety of techniques.

cv.jit.orientation Abstraction Calculates a shape's main axis.

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