Theory and applications of frequency image of color vectors
| Autor: | Shunichiro Oe, Toshiyuki Kashiwagi |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Color histogram
Color normalization Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance Image processing False color HSL and HSV Color space Edge detection Image texture Histogram Color depth Computer vision Segmentation Exposure compensation Histogram equalization Image gradient Feature detection (computer vision) Demosaicing Pixel Color image business.industry Binary image Image segmentation Color quantization Computer Science::Computer Vision and Pattern Recognition High color RGB color model Artificial intelligence business |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.805429 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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