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Proceedings Paper

Theory and applications of frequency image of color vectors
Author(s): Toshiyuki Kashiwagi; Shunichiro Oe
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Paper Abstract

To treat a color image in a holistic manner, we take a unique approach to color image processing. In previous work we have proposed a new feature image of which pixel holds the number of frequency of color vectors. This feature image that we call Frequency Image is made from a special color histogram of an image and presents a distribution of frequency of color. In this paper, first, we review the basic idea of Frequency Image and present a new analysis of this image. Next, we explain the effective applications such as color edge detection, color uniformity inspection, focusing and local exposure compensation. Then we propose a new approach to color image segmentation and demonstrate some experimental results. Finally, we discuss some issues and advantages of using the Frequency Image. A Frequency Image is useful to reduce the dimension of an original color image and to arrange a classification by the frequency of color vectors. Therefore we can utilize this image effectively in various color image-processing applications.

Paper Details

Date Published: 3 February 2009
PDF: 12 pages
Proc. SPIE 7251, Image Processing: Machine Vision Applications II, 72510H (3 February 2009); doi: 10.1117/12.805429
Show Author Affiliations
Toshiyuki Kashiwagi, Tokushima Prefectural Industrial Technology Ctr. (Japan)
Shunichiro Oe, Univ. of Tokushima (Japan)


Published in SPIE Proceedings Vol. 7251:
Image Processing: Machine Vision Applications II
Kurt S. Niel; David Fofi, Editor(s)

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