Abstract
We propose a non-uniform quantification method for RGB channels based on the different sensitivities of human eyes to the red, green and blue primary colors, which quantifies the R, G, B channels to different ranges, and then design a method of computing the weights for Lab channels and a method of computing the weighted color distance based on the different contributions of L,a,b channels to pixel saliency. Based on this, we present a saliency detection method using the non-uniform quantification method and the weighted color distance. First, we do the non-uniform quantification on an RGB image and convert the result into Lab space. And then, we compute the weights w L , w a , w b for L,a,b channels by means of histogram, and compute the weighted color distance of each pixel I k to all other pixels using the channel weights. Finally, the saliency of each pixel is computed using the weighted color distances. The proposed non-uniform quantification method, the weight computing method and the weighted color distance can be used in the early processing step for various applications based on color features. Experimental results show that our methods can improve the quality and efficiency for saliency detection to some extent.
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Yuan, Y., Han, A., Han, F. (2015). Saliency Detection Based on Non-uniform Quantification for RGB Channels and Weights for Lab Channels. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds) Computer Vision. CCCV 2015. Communications in Computer and Information Science, vol 546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48558-3_26
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DOI: https://doi.org/10.1007/978-3-662-48558-3_26
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