Segmentation algorithm of interest detection regions based on visual attention mechanism

In order to analyze and dispose shallow view images and simple background image preferably and improve image quality and effect,on the basis of Itti attention algorithm,the test method was proposed based on visual attention.Through the analysis of image pixels,this method extracted the interested part of the image,enhanced the image using the deviation degree between pixels and the average of image,and made image more accord with visual requirements using perception study principle.Experimental results showed that the proposed method complies with biological visual attention mechanism,which is also effective to reduce over-segmentation in auto-detecting ROI(region of interesting) and performs well for large objects.