Ellipse Detector Randomized Hough Transform for ellipse detection
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Ellipse Detector Description

Randomized Hough Transform for ellipse detection The aim of Ellipse Detector is to contribute to the development of robust machine vision algorithms for pattern recognition. Ellipse Detector is meant to provide robotic systems the ability to understand more on the external real world. The method used by Ellipse Detector is a method for detecting ellipses in real world using the Randomized Hough Transform with Result Clustering. A preprocessing phase is used in whic real world images are transformed - noise reduction, greyscale transform, edge detection and finally binarization - in order to be processed by the actual ellipse detector. Requirements: · Java 6

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