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2 February 2009 Theory and applications of frequency image of color vectors
Toshiyuki Kashiwagi, Shunichiro Oe
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Proceedings Volume 7251, Image Processing: Machine Vision Applications II; 72510H (2009) https://doi.org/10.1117/12.805429
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
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.
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Toshiyuki Kashiwagi and Shunichiro Oe "Theory and applications of frequency image of color vectors", Proc. SPIE 7251, Image Processing: Machine Vision Applications II, 72510H (2 February 2009); https://doi.org/10.1117/12.805429
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KEYWORDS
Image segmentation
RGB color model
Edge detection
Image filtering
Inspection
Color image processing
Image analysis
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