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Saliency detection method based on depth selective difference

A detection method and a selective technology, which is applied in the fields of image processing and computer vision, can solve problems such as false detection, ignoring the bottom background area, and inability to effectively detect objects with similar visual features, so as to achieve accurate detection results and improve the significance of detection results , the effect of low computational complexity

Inactive Publication Date: 2017-07-28
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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  • Saliency detection method based on depth selective difference
  • 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] Such as 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 ho...

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Abstract

The invention provides a saliency detection method based on depth selective difference. The method comprises the steps: depth images are acquired as input, smooth process is performed on each depth image, a selective difference value of each segmentation area are calculated, and an initial saliency image is optimized according to center preference, so that a final saliency detection result is obtained. Use of the method solves a problem that an object of which visual features are similar with the background can not be detected purely based on a color image and a problem that a bottom background area ignored based on a depth image causes false detection. According to the invention, the method is suitable for saliency detection method of the depth image, the computation complexity is relatively low, the detection result is accurate, and the method has wide application in the field 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 Applications(China)
IPC IPC(8): G06T7/00G06T7/60G06K9/32G06K9/46
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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