Image saliency detection has become increasingly important with the development of intelligent identification and machine vision\ntechnology. This process is essential for many image processing algorithms such as image retrieval, image segmentation, image\nrecognition, and adaptive image compression. We propose a salient region detection algorithm for full-resolution images. This\nalgorithm analyzes the randomness and correlation of image pixels and pixel-to-region saliency computation mechanism. The\nalgorithm first obtains points withmore saliency probability by using the improved smallest univalue segment assimilating nucleus\noperator. It then reconstructs the entire saliency region detection by taking these points as reference and combining them with\nimage spatial color distribution, as well as regional and global contrasts. The results for subjective and objective image saliency\ndetection show that the proposed algorithm exhibits outstanding performance in terms of technology indices such as precision and\nrecall rates.
Loading....