Multi-modal region-consistent significance object detection method based on foreground and background priori
A detection method and background technology, applied in the field of computer vision, can solve problems such as reducing the accuracy rate
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[0046] The present invention will be further described below.
[0047] A salient object detection method based on multimodal region consistency of foreground and background priors, comprising the steps of:
[0048] 1) Obtain the color image and depth image of the scene from the Kinect depth camera, and generate
[0049] into a point cloud;
[0050] 2) Use color map and depth map to segment the scene
[0051] The process of scene segmentation is as follows: According to the difference between the characteristics of different regions of the image, the image on the three channels of the color map is segmented respectively, and the intersection of these three segmentation sets is calculated, and then the depth map is used as the fourth channel, and the edge weight function is calculated at the same time The difference value between pixels in the color space and the depth space, adopts an adaptive method to determine the weight in the edge weight function.
[0052] The process o...
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