DocumentCode :
1738419
Title :
Bilateral functions of direction and pattern by auto-correlation model-categorizing texture and office images
Author :
Shibata, Tatsuya ; Kato, Toshikazu
Author_Institution :
Electrotech. Lab., Ibaraki, Japan
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1639
Abstract :
It is known that visual functions such as color, direction, and movement are specialized in the brain. However, it is not clear how the functions are detected. We introduce an auto-correlation model to detect direction parameters. The paper examines how important pattern is as a visual function and how it is detected. We apply an auto-correlation model because direction is based on continuity, while pattern is based on discontinuity. We therefore hypothesize that pattern is an opposite function against direction. Pattern (in the article), means a repetition of different areas, which has a property of discontinuity. We conclude that the auto-correlation model proposed detects not only edge and line directions but also patterns, repetitions of different areas in images, and is useful for discriminating texture images by material and retrieve images by words, which are supported by experiments
Keywords :
correlation theory; edge detection; image retrieval; image texture; office automation; word processing; auto-correlation model; bilateral functions; direction parameters; edge detection; line directions; office images; pattern recognition; texture images; visual functions; Autocorrelation; Brain modeling; Equations; Image edge detection; Image retrieval; Industrial relations; Laboratories; Pixel; Power engineering and energy; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
ISSN :
1062-922X
Print_ISBN :
0-7803-6583-6
Type :
conf
DOI :
10.1109/ICSMC.2000.886341
Filename :
886341
Link To Document :
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