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Hough Transform Run Length Encoding for Real-Time Image Processing

Chris Messom, Gourab Sen Gupta, Serge Demidenko

发表年份
2007
引用次数
29

摘要

This paper introduces a real-time image processing algorithm based on run length encoding (RLE) for a vision-based intelligent controller of a Humanoid Robot system. The RLE algorithms identify objects in the image, providing their size and position. The RLE Hough transform is also presented for recognition of landmarks in the image to aid robot localization. The vision system presented has been tested by simulating the dynamics of the robot system as well as the image processing subsystem

关键词

Hough transformComputer visionArtificial intelligenceComputer scienceImage processingEncoding (memory)Machine visionImage (mathematics)RobotPosition (finance)

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