A Fast Image Retrieval System Using High Order Fuzzy Statistics Model Parameters

• Main Authors: Shien-Cheng Wu, 吳信誠
• Other Authors: Wen-Yu Su
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/88961391965509188780

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 90 === With the growing sizes of today’s digital image database, fast retrieval methods are mandatory. Though shape and color are the most popular features in many retrieval systems, it is possible that other abstract representations can also be used to extract additional useful information for this application. For example, quite a few high order statistics methods were successfully used in texture image classification. In this paper, we present a fast retrieval system using a maximally simplified fuzzy parametrical statistic representation and a color region representation, and combine them be with a 2-level matching strategy based on an input reference image. The proposed statistics model is used to explore the spatial relationship among the neighboring image pixels. Among the retrieval images, some of them are highly related to the input reference image even in a human point of view.