A Saliency Detection Method Based on Depth Selective Difference

A detection method and selective technology, applied in the field of image processing and computer vision, can solve the problems of inability to effectively detect objects with similar visual features, ignoring the bottom background area, false detection, etc., to improve the saliency detection results and computational complexity. Low, accurate detection results

Inactive Publication Date: 2019-09-27
BEIJING UNIV OF TECH
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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, simply using a color image as input cannot effectively detect objects with similar visual characteristics to the background; while the traditional salient detection method based on the depth Bottom background area causing false detection

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  • A Saliency Detection Method Based on Depth Selective Difference
  • A Saliency Detection Method Based on Depth Selective Difference
  • A Saliency Detection Method Based on Depth Selective Difference

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Embodiment Construction

[0033] The present invention provides a saliency detection method based on depth selective difference. The method first takes a depth image as an input, applies a segmentation algorithm to a color image, obtains the corresponding area mark of the image, and then performs a process on each depth image. Gaussian smoothing, followed by the calculation of the selective difference value of the region, and finally the initial saliency map is optimized according to the center preference of the image, so as to obtain the final saliency detection result. The invention is suitable for the saliency detection of the depth image, has low computational complexity and accurate detection results.

[0034] like figure 1 Shown, the present invention comprises the following steps:

[0035] 1) Obtain an image with depth information, which is a visualized depth image obtained after normalization by using the optical flow method to act on the binocular image to obtain the optical flow in the horiz...

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Abstract

The invention provides a saliency detection method based on the difference of depth selectivity. The method first obtains the depth image as input, then smooths each depth image, calculates the selective difference value of each segmented region, and finally optimizes the initial saliency map according to the center preference to obtain the final saliency detection result. The application of the present invention not only solves the problem that objects with similar visual features to the background cannot be detected based solely on the color image, but also solves the problem that the bottom background area is ignored based on the depth image, resulting in false detection. The invention is suitable for the saliency detection of the depth image, has low computational complexity and accurate detection results. The invention has wide applications in the fields of image processing and computer vision.

Description

technical field [0001] The invention belongs to the field of image processing and computer vision, and relates to binocular images and a salient object detection method, in particular to a salient detection method based on depth selective difference. 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 has a wide range of applications in the field of computer vision, including object detection and recognition, image retrieval, image compression, and image redirection. [0003] The purpose of saliency detection is to quickly and accurately locate the most salient objects in an image by mimicking human visual perception. The saliency detection process mainly relies on the collection of visual information and feature extraction. At present, most saliency detection methods take color images as input, and calculate salienc...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/60G06K9/32G06K9/46
CPCG06T2207/10004G06T2207/10024G06V10/25G06V10/462
Inventor 付利华陈秋霞王丹李灿灿丁浩刚
Owner BEIJING UNIV OF TECH
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