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Method for Recognition of Fuzzy 2D Primitives via a Technology of Soft Computing

机译:软计算技术的模糊二维原语识别方法

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摘要

A method for recognition of fuzzy 2D image primitives based on soft computing technology is presented. In this method, the descriptions of primitives are formed by a human expert in a quasinatural language. The recognition methodology is suggested for the primitives represented in this form. This methodology is based on the theory of fuzzy sets and on the technology of test score semantics. The suggested methodology was employed in a human-machine software system that is intended for recognition of ultrasonic images of a fetus in a mother's womb.
机译:提出了一种基于软计算技术的模糊二维图像基元识别方法。在这种方法中,原语的描述是由人类专家以准自然语言形成的。建议以这种形式表示的图元的识别方法。该方法基于模糊集理论和考试分数语义技术。在人机软件系统中采用了建议的方法,该系统旨在识别母亲子宫中胎儿的超声图像。

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