一种将未完全分割图像与模型匹配的模糊松弛算法

Proceedings IEEE Southeastcon '92 Pub Date : 1992-04-12 DOI:10.1109/SECON.1992.202322

L. J. Chipman, K. Ranganath

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引用次数: 8

摘要

提出了一种不完美分割图像与存储场景模型匹配的图论方法。具体的分割错误处理的对象缺失，额外的对象，缺失的关系，和错误测量的属性。该方法结合增强模糊松弛和关联图技术，将全局对象间关系和局部对象属性相结合，获得更可靠的匹配。

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A fuzzy relaxation algorithm for matching imperfectly segmented images to models

A graph theoretic approach for matching imperfectly segmented images with stored scene models is presented. The specific segmentation errors addressed are missing objects, extra objects, missing relations, and mismeasured attributes. By combining enhanced fuzzy relaxation and association graph techniques, the method integrates global inter-object relations and local object attributes to obtain more reliable matching.<>

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来源期刊

Proceedings IEEE Southeastcon '92

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