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A Saliency Detection Method Based on Background Prior

A detection method and background 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, false detection, etc., and achieve the effect of improving saliency detection results and high accuracy

Active Publication Date: 2021-07-23
BEIJING UNIV OF TECH
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AI Technical Summary

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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  • A Saliency Detection Method Based on Background Prior
  • A Saliency Detection Method Based on Background Prior
  • A Saliency Detection Method Based on Background Prior

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Embodiment Construction

[0024] The present invention provides a saliency detection method based on background prior. In the method, a color image and a depth image are used as input, and a superpixel segmentation algorithm is applied to the color image. According to the corresponding relationship between the depth image and the color image, the corresponding Secondly, by evaluating the quality of the depth image, dynamically adjust the proportion of the color feature and depth feature of the image in the final detection feature; then, based on the depth selectivity difference and the background prior, calculate each super The initial saliency value of the pixel area; finally, the initial saliency map is optimized according to the minimization of the cost function to obtain the final saliency detection result. The invention is suitable for the saliency detection with both the color image and the depth image, and the detection result is accurate.

[0025] The present invention comprises the following s...

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Abstract

The invention discloses a background prior-based saliency detection method. Firstly, a color image and a depth image are used as input, and then the input image is subjected to superpixel segmentation and depth map quality evaluation through preprocessing operations, and then based on the depth selective difference And the background prior, calculate the initial saliency value of each superpixel region, and finally optimize the initial saliency map by minimizing the cost function, so as to obtain the final saliency detection result. The application of the present invention not only solves the problem that the traditional color image-based saliency detection method cannot detect objects with similar visual characteristics to the background, but also solves the problem that the bottom background area cannot be ignored when only relying on depth information for saliency detection. misdetection problem. The present invention is applicable to the saliency detection when there are both color images and depth images, and the overall effect is good, and the salient objects can be effectively detected with high accuracy.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/34G06K9/46G06T7/11G06T7/136G06T7/194
CPCG06T7/11G06T7/136G06T7/194G06T2207/10024G06T2207/10028G06V10/267G06V10/462
Inventor 付利华李灿灿冯羽葭彭硕王丹
Owner BEIJING UNIV OF TECH
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