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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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Chen Zhang, Wenzhu Yang, Zhaohai Liu, Daoliang Li, Yingyi Chen, et al.. Color Image Segmentation in RGB Color Space Based on Color Saliency. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.348-357, ⟨10.1007/978-3-642-54344-9_41⟩. ⟨hal-01220937⟩

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