Significance detection method based on background priors

Abstract

The invention discloses a significance detection method based on background priors. The method comprises the steps that a color image and a depth image are taken as input; superpixel segmentation anddepth map quality evaluation are carried out on the input images through a preprocessing operation; based on depth selective difference and background priors, the initial significance value of each superpixel region is calculated; and finally an initial significance map is optimized through the minimization of a cost function to acquire the final significance detection result. According to the invention, the problem that a traditional significance detection method based on color images cannot detect objects with similar visual characteristics with the background is solved; the problem of misdetection, which is caused by the fact that a bottom background region cannot be ignored when significance detection is carried out simply by relying on depth information; is solved; and the method provided by the invention is suitable for significance detection with color images and depth images, has the advantages of good overall effect and high accuracy, and can effectively detect significant objects.

Description

technical field [0001] The invention belongs to the field of image processing and computer vision, and relates to a color image, a depth image and a salient object detection method, in particular to a background prior-based salient detection method. Background technique [0002] Visual saliency refers to the subjective perception that salient regions in an image quickly grab the viewer's attention in the early stages of visual processing. Saliency detection technology is the key core of applications such as object detection and recognition, image retrieval, image compression, and image redirection, and has broad application prospects in many fields. [0003] The purpose of saliency detection is to effectively highlight salient regions and suppress background regions. The process of saliency detection mainly depends on the collection of visual information and the extraction of features. At present, there are many methods of image saliency detection, most of which are based o...

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Problems solved by technology

[0006] The problem to be solved by the present invention is: in the salient object detection technology of images, it is impossible to effectively detect objects with similar visual characteristics to the background by simply using color images as input; and the salient detection method based only on depth maps may False detections when there are bottom background regions close to salient object depths

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