Automatic Straight Line Detection through Fixed-Point BYY Harmony Learning

Authors:
Jinwen Ma;Lei Li
Affiliations:
Department of Information Science, School of Mathematical Sciences and LAMA, Peking University, Beijing, China 100871;Department of Information Science, School of Mathematical Sciences and LAMA, Peking University, Beijing, China 100871
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

Straight line detection in a binary image is a basic but difficult task in image processing and machine vision. Recently, a fast fixed-point BYY harmony learning algorithm has been established to efficiently make model selection automatically during the parameter learning on Gaussian mixture. In this paper, we apply the fixed-point BYY harmony learning algorithm to learning the Gaussians in the dataset of a binary image and utilize the major principal components of the covariance matrices of the estimated Gaussians to represent the straight lines in the image. It is demonstrated well by the experiments that this fixed-point BYY harmony learning approach can both determine the number of straight lines and locate these straight lines accurately in a binary image.