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A new scene analysis using genetic algorithm based fuzzy ID3 method

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2 Author(s)
Jyh-Yeong Chang ; Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan ; Chien-Wen Cho

In this paper, we utilize a neural network based machine learning algorithm to segment natural objects in outdoor scene images. We have developed a genetic algorithm based fuzzy ID3 method, which can build a fuzzy decision tree to summarize the regularities existing in the data set. Using this method, we then propose a road scene analysis system, by which natural element segmentation rules can be learned from several road scene images. In the image analysis phase, the natural element regions are obtained through inference on these learned rules. Moreover, we can apply image groundtruthing to further improve the classification accuracy. The testing results have demonstrated that the object segmentation accuracy is quite high.

Published in:

Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on  (Volume:3 )

Date of Conference:

31 July-4 Aug. 2005

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