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A Saliency Detection Method Based on Region Candidate Sample Selection

A candidate sample and detection method technology, applied in image analysis, image enhancement, instrument and other directions, can solve the problem of inaccurate detection results, and achieve the effect of accurate saliency map and accurate detection results

Active Publication Date: 2019-09-27
DALIAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

There are many deficiencies in the traditional saliency detection methods, especially when faced with complex multi-target images or situations where the salient targets are very similar to the background, the detection results are often inaccurate

Method used

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  • A Saliency Detection Method Based on Region Candidate Sample Selection
  • A Saliency Detection Method Based on Region Candidate Sample Selection
  • A Saliency Detection Method Based on Region Candidate Sample Selection

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Embodiment Construction

[0024] The specific implementation manners of the present invention will be further described below in conjunction with the accompanying drawings and technical solutions.

[0025] The idea of ​​the present invention is to select the optimal candidate region samples and use them for salient target detection by combining the existing prior knowledge and defining the evaluation index for evaluating the objectivity and salience of the region candidate samples. In the detection process, in addition to the traditional prior knowledge such as the contrast around the center, the internal similarity, and the location prior, the contour information of the region candidate samples is also targeted from the global and local perspectives. In order to describe the region candidate samples more accurately, we also introduce depth features, so that the detection results are more in line with the human visual experience. Furthermore, the present invention also introduces a structured classifie...

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Abstract

The invention belongs to the technical field of artificial intelligence and provides a saliency detection method based on region candidate sample selection. The saliency detection method based on the selection of region candidate samples proposed by the present invention evaluates the saliency and Targetness, and then use superpixels to further optimize the detection results, so that salient objects in the image can be effectively detected. Compared with traditional methods, the detection results are more accurate. Especially for images with multiple targets or targets that are very similar to the background, the detection result of the method of the present invention is more in line with human visual perception, and the obtained saliency map is also more accurate.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, relates to computer vision, and in particular relates to an image saliency detection method. Background technique [0002] With the development of science and technology, the information such as images and videos received by people has shown explosive growth. How to process image data quickly and effectively has become a problem that needs to be solved urgently. Usually, people only pay attention to the more salient areas in the image that attract the attention of the human eye, that is, the foreground area or the salient object, while ignoring the background area. Therefore, people use computers to simulate the human visual system for saliency detection. At present, the study of saliency can be widely applied to various fields of computer vision, including image retrieval, image compression, object recognition, and image segmentation. [0003] In saliency detection, how to acc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/194G06K9/32G06K9/34
CPCG06T7/11G06T7/194G06T2207/30196G06T2207/10004G06T2207/20081G06V10/25G06V10/267
Inventor 张立和周钦
Owner DALIAN UNIV OF TECH
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