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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/69116

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/69116

Title:	Similarity retrieval of iconic image database
Authors:	沈錳坤 Lee,Suh-Yin;Shan,Man-Kwan;Yang,Wei-Pang
Contributors:	資科系
Keywords:	Image database;Spatial relationship;Similarity retrieval;2D string;Longest common subsequence;Maximal complete subgraph
Date:	1989
Issue Date:	2014-08-21 12:04:52 (UTC+8)
Abstract:	The perception of spatial relationships among objects in a picture is one of the important selection criteria to discriminate and retrieve the images in an iconic image database system. The data structure called 2D string, proposed by Chang et al., is adopted to represent symbolic pictures. The 2D string preserves the objects` spatial knowledge embedded in images. Since spatial relationship is a fuzzy concept, the capability of similarity retrieval for the retrieval by subpicture is essential. In this paper, similarity measure based on 2D string longest common subsequence is defined. The algorithm for similarity retrieval is also proposed. Similarity retrieval provides the iconic image database with the distinguishing function different from a conventional database.
Relation:	Pattern Recognition,22(6),675-682
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/0031-3203(89)90004-6
DOI:	10.1016/0031-3203(89)90004-6
Appears in Collections:	[資訊科學系] 期刊論文

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