基于模糊多因素的医疗器械供应商自动决策支持系统

A. Chaki, T. Chattopadhyay
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引用次数: 3

摘要

大多数产品在生产过程中都要进行多次缺陷检查。为此,在大多数图像分析应用中,目标检测是一项非常基本的任务。现有的低级目标检测方法大多在二维图像空间中采用基于颜色相似度和直方图相似度的方法。本文提出了一种基于多因素的决策方法,其中决策过程涉及基于不同参数加权值的模糊机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Automatic decission support system for medical instrument suppliers using fuzzy multifactor based approach
Most products are inspected for flaws several times during the manufacturing process. For this purpose, object detection is a very fundamental task in most of the image analysis applications. Most of the existing methods for low-level object detection perform color similarity and histogram similarity based approach in the 2-D image space. In this paper, a multi-factorial based approach has been proposed where the decision taking process involves a fuzzy mechanism based on weighted values of different parameters.
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