Color Image Segmentation in RGB Color Space Based on Color Saliency

Abstract : It is difficult to separate the foreign fiber objects in a captured color image from the background accurately. To solve this problem, this paper presents a new approach for color image segmentation in RGB color space based on color saliency. Firstly, the captured RGB color image was separated to R, G and B color channels, and the color information for each channel was calculated. Secondly, the R saliency for each pixel in the R channel, the G saliency for each pixel in the G channel, and the B saliency for each pixel in the B channel was calculated respectively. Then comprehensive saliency map was obtained by the weighted R, G and B saliency. The weights for the R, G and B saliency were determined by the corresponding color information of each color channel. At last, the foreign fiber targets were separated out from the comprehensive saliency map using a threshold method. The results indicate that the proposed method can segment out the foreign fiber objects from the color image accurately.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.348-357, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_41〉
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Chen Zhang, Wenzhu Yang, Zhaohai Liu, Daoliang Li, Yingyi Chen, et al.. Color Image Segmentation in RGB Color Space Based on Color Saliency. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.348-357, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_41〉. 〈hal-01220937〉

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