文章基本信息

标题：Fuzzy Art Based Image Segmentation and Statistical Analysis
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作者：B.V.R.V.Prasad ; M.Jogendra Kumar ; Dr. B.V.Subba Rao 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：2
页码：2428-2431
出版社：TechScience Publications
摘要：Measurement of visual quality is of fundamental importance for numerous image applications, where the goal of quality analysis is to automatically assess the quality of images or in agreement with human quality judgments. Over the years, many researchers have taken different approaches to analyze their respective domains. It is important to evaluate the performance of clustering algorithms in a comparative setting and analyze the strengths and weaknesses. In this paper, we present results of an extensive statistical analysis of Fuzzy ART based segmented image by varying the parameters of it. Image segmentation plays a fundamental role in image analysis. It is used to extract the certain features from the image that aid in the identification of objects. Segmentation algorithms used in the Engineering Science areas such as biometric, remote sensing, color science, Image processing and etc
关键词：Image Segmentation; Fuzzy ART; Statistical;measures