IMAGE ANALYSIS

Image retrieval via the inhomogeneous diffusion of luminance and texture features

[+] Author Affiliations
Andrea Kutics

Japan Systems Co., Ltd., 2-31-24, Ikejiri, Setagaya-ku, Tokyo?154-8541, Japan

Masaomi Nakajima, Taichi Nakamura

NTT Data Corporation, Multimedia Technology Center, 1-21-2, Shinkawa, Chuo-ku, Tokyo, 104-0033, Japan

Hideyoshi Tominaga

Waseda University, Dept. of Electronics and Communication Engineering, 1-104, Tozuka-cho, Shinjyuku-ku, Tokyo, 169-8050, Japan

J. Electron. Imaging. 9(2), 159-169 (Apr 01, 2000). doi:10.1117/1.482743
History: Received Nov. 2, 1998; Revised June 18, 1999; Accepted Mar. 13, 2000
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Abstract

A new method has been developed for measuring the similarity of two digital images using a common multiscale framework on luminance and texture features. This method applies a multivalued inhomogeneous diffusion model for luminance and texture features to detect multiscale object boundaries. The orientations of the detected boundary points are utilized to obtain a similarity measure, which is defined by matching the orientation histogram pairs determined for each scale level. By applying normalization and histogram shifting, this measure can also address scale and rotation invariance. The method is evaluated on the original and transformed images of Corel Gallery and Kodak photo-CD data by applying image scaling, rotation, and blurring. A similarity ratio of more than 95% is achieved for the first two transformations, and more than 80% for the third. © 2000 SPIE and IS&T.

© 2000 SPIE and IS&T

Citation

Andrea Kutics ; Masaomi Nakajima ; Taichi Nakamura and Hideyoshi Tominaga
"Image retrieval via the inhomogeneous diffusion of luminance and texture features", J. Electron. Imaging. 9(2), 159-169 (Apr 01, 2000). ; http://dx.doi.org/10.1117/1.482743


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