基于模糊集理论的植物物种识别

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 1994-04-21 DOI:10.1109/IAI.1994.336686

A. Nabout, R. Gerhards, B. Su, H. A. Nour Eldin, W. Kuhbauch

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引用次数: 14

摘要

植物种类的自动识别是一个巨大的挑战，因为它们的模式是复杂的和不确定的。本文将模糊集理论应用于杂草种类识别。建立了隶属函数。实验表明，平均正确率从67%提高到82%以上。

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Plant species identification using fuzzy set theory

The automatic identification of plant species is a great challenge because their patterns are complex and uncertain. In this paper, the fuzzy set theory was applied to identify weed species. A membership function was established. The experiment has shown, that the average rate of correct identification has improved from 67% to greater than 82%.<>

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Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

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