Research on Total Variation De-Highlighting Based on Saliency Detection
The froth image in the flotation cell during beneficiation flotaion is affected by the angle of industrial camera and the position of illumination,which leads to the extraction of color features and texture features of the foam image failing to achieve the desired results.To address the aforementioned issues,an adaptive algorithm of total varia-tion highlight removal based on saliency detection was proposed.At first,the image in RGB color space was converted to YUV space,thus determining whether a pixel was highlighted according to the size of significance value.Mean-while,the highlight area of image was repaired.Moreover,an improved model of total variation restoration was con-structed,and then the model was solved.Experimental results show that the proposed algorithm has a certain improve-ment in recognizing image highlights and processing fine spots.Meanwhile,the mean square error and peak signal to noise ratio have been improved to a certain extent.This method also can extract and repair the bright spots in froth images effectively.
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