An adaptive computational method for color contrast based salient region detection

Abstract

An adaptive salient region detection method is proposed in this study, which combines LAB and RGB feature space and fused the color and contrast features. This algorithm first extracts the color feature of each image block in the LAB space and the contrast feature in the RGB space, and then fuses the color feature saliency map and the contrast feature saliency map using the principal component analysis (PCA) method which can effectively retain the saliency information of color and contrast, at last, this research extracts the salient region by setting a adaptive threshold. Compared with other detection methods, the proposed method is accurate and highlights the salient region uniformly, the detection results are more in line with the observations of human eyes.