模糊图像识别中的部分匹配

[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs Pub Date : 1991-09-30 DOI:10.1109/DMESP.1991.171771

Rita Almeida Ribeiro, J. Baldwin

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引用次数: 1

摘要

解决了如何建立识别模糊或不完整图像的专家系统的问题。重点是每个可能选项的每个相似度的部分匹配和支持度的估计。采用投票模型解释模糊集对目标进行分类，迭代赋值算法获得支持。为了测试这种方法的学习能力，我们实现了一个大写字母的例子。

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Partial matching in fuzzy image recognition

The problem of how to build expert systems for recognizing vague or incomplete images is addressed. The focus is on the partial match and estimation of supports, per degree of similarity, of each possible option. Two methods were used: a voting model interpretation of fuzzy sets to classify the objects, and the iterative assignment algorithm to obtain the support. To test the learning capabilities of this approach, an example of upper case letters was implemented.<>

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[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs

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