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Recognition of Plural Grouping Patterns in Trademarks for CBIR According to the Gestalt Psychology Koji ABE Hiromasa IGUCHI Haiyan TIAN Debabrata ROY Publication IEICE TRANSACTIONS on Information and Systems Vol.E89-D No.6 pp.1798-1805 Publication Date: 2006/06/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e89-d.6.1798 Print ISSN: 0916-8532 Type of Manuscript: Special Section PAPER (Special Section on Human Communication II) Category: Vision and Image Keyword: content-based image retrieval, grouping, Gestalt psychology, discrimination analysis, trademark retrieval, Full Text: PDF(432.8KB)>>
Summary: According to the Gestalt principals, this paper presents a recognition method of grouping areas in trademark images modeling features for measuring the attraction degree between couples of image components. This investigation would be used for content-based image retrieval from the view of mirroring human perception for images. Depending on variability in human perception for trademark images, the proposed method finds grouping areas by calculating Mahalanobis distance with the features to every combination of two components in images. The features are extracted from every combination of two components in images, and the features represent proximity, shape similarity, and closure between two components. In addition, changing combination of the features, plural grouping patterns are output. Besides, this paper shows the efficiency and limits of the proposed method from experimental results. In the experiments, 104 participants have perceived grouping patterns to 74 trademark images and the human perceptions have been compared with outputs by the proposed method for the 74 images. | ||||||||||
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