RGB-D image salient object detection method based on salient center prior

Abstract

The invention discloses an RGB-D image salient object detection method based on salient center prior. The RGB-D image salient object detection method comprises steps that salient center prior based on a depth map and salient center prior based on an RGB image are provided; according to the salient center prior based on the depth map, Euclidean distances between other super pixels in the RGB image and the depth characteristics of the center super pixels of the depth map salient object are calculated, and are used as the salient detection results of the salient weight strengthened RGB image, and therefore the RGB image salient detection is effectively guided by the depth characteristics, and the RGB image salient detection results are improved; according to the salient center prior based on the RGB image, the Euclidean distances between the other super pixels of the depth map and the CIELab color characteristics of the center super pixels of the RGB image salient object are calculated, and are used as the salient detection results of the salient weight strengthened depth map, and therefore the depth map salient detection is effectively guided by the RGB characteristics, and the depth map salient detection results are improved.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a salient object detection method in an RGB-D image based on a salient center prior. Background technique [0002] Nowadays, our world is full of a lot of information, and all kinds of information appear around us in different carriers, such as sound, text, image, video and so on. Although the external information is so diverse, humans can still rely on the visual perception system to perceive about 80% of the information, and can identify and respond to such complicated information in a relatively short period of time. And all this is because the human visual mechanism will selectively filter non-attention events, and give priority to attention events to maintain a high accuracy rate and response speed. Inspired by the human visual attention mechanism, image salient object detection technology was born in the field of computer vision. The purpose of salient t...

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Problems solved by technology

[0008] Among the above methods, some do not extract depth features when performing saliency calculations, and cannot be applied to the saliency detection of RGB-D images, such as the background prior method of Yang et al.; some only separate depth features and color features Treat them separately, and then do simple fusion, but the depth features and RGB features cannot guide each other and improve the detection effect mutually, such as the method of Peng et al.; some subjectively take the center of the image as the salient target, which is not applicable In the case where the salient object is offset from the center of the image, such as the method of Cheng et al.

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