IMAGE SALIENCY OBJECT DETECTION METHOD BASED ON CENTER-DARK CHANNEL PRIORI INFORMATION

摘要

Disclosed in the present invention is an image saliency object detection method based on center-dark channel priori information. The method uses color, depth and distance information to perform positioning detection on a saliency region of an image, to obtain a preliminary detection result of a saliency object in the image, and then uses center-dark channel priori information proposed in the present invention to optimize a final result of the saliency detection. The present invention can detect a saliency object more accurately and robustly. The present invention uses center-dark channel priori information to perform saliency detection, thereby increasing the accuracy of saliency object detection. At the same time, the present invention also enhances the robustness of saliency detection. The present invention can solve the problems of low accuracy and low robustness of existing saliency detection, and show a saliency region in an image more accurately, thereby providing accurate and useful information for subsequent applications such as target recognition and classification. The present invention is applicable to many complex situations, and has a wide application range.