Description: It presents a significant advantage of visual image segmentation method. First, extract the underlying visual features of images, the local significant global significance and rarity three terms calculated for each feature image each pixel visual significance to give each feature saliency map for each feature saliency map integrated to generate the final integrated saliency map. Then the integrated saliency map threshold segmentation, binary image, binary image with the original image overlay, foreground and background separation, image segmentation results obtained
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利用视觉显著性的图像分割方法.pdf
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