Stereoscopic image significance detection method, device and equipment, and storage medium

A technology of stereoscopic images and detection methods, applied in the field of image processing, can solve the problems of large error of salient features of stereoscopic images, inconspicuousness of stereoscopic images, poor performance of saliency detection models, etc., so as to reduce errors and improve saliency detection. The effect of precision

Active Publication Date: 2018-07-31
SHENZHEN UNIV
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Problems solved by technology

[0006] The object of the present invention is to provide a detection method, device, equipment and storage medium for the saliency of a stereo image, aiming at solving the problem that the performance of the existing detection model of the saliency of the stereo image is poor, which leads to large error in the saliency feature of the extracted stereo image, and the stereo image Non-significant issues

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  • Stereoscopic image significance detection method, device and equipment, and storage medium
  • Stereoscopic image significance detection method, device and equipment, and storage medium
  • Stereoscopic image significance detection method, device and equipment, and storage medium

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Embodiment 1

[0032] figure 1 The implementation flow of the stereoscopic image saliency detection method provided by Embodiment 1 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:

[0033] In step S101, when a request for saliency detection of a stereoscopic image is received, the color image and the depth image of the stereoscopic image are respectively segmented to obtain a preset number of color pixel regions and depth pixel regions respectively.

[0034] Embodiments of the present invention are applicable to computing devices, such as personal computers, smart phones, tablets, and the like. In the embodiment of the present invention, the color image and the depth image of the stereoscopic image are respectively segmented by a superpixel image segmentation algorithm. Preferably, a simple linear iterative clustering (SLIC) algorithm is used to respectively seg...

Embodiment 2

[0053] Figure 7 The structure of the stereoscopic image saliency detection device provided by Embodiment 2 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:

[0054] The image segmentation unit 71 is configured to segment the color image and the depth image of the stereo image respectively to obtain a preset number of color pixel regions and depth pixel regions when receiving a request for saliency detection of the stereo image.

[0055] Embodiments of the present invention are applicable to computing devices, such as personal computers, smart phones, tablets, and the like. When the color image and the depth image of the stereoscopic image are segmented respectively by the superpixel image segmentation algorithm, preferably, a simple linear iterative clustering (SLIC) algorithm is used to segment the color image and the depth image into preset segmentation regions resp...

Embodiment 3

[0064] Figure 8 The structure of the stereoscopic image saliency detection device provided by the third embodiment of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:

[0065] The image segmentation unit 81 is configured to segment the color image and the depth image of the stereo image respectively to obtain a preset number of color pixel regions and depth pixel regions when receiving a request for saliency detection of the stereo image.

[0066] Embodiments of the present invention are applicable to computing devices, such as personal computers, smart phones, tablets, and the like. When the color image and the depth image of the stereoscopic image are segmented respectively by the superpixel image segmentation algorithm, preferably, a simple linear iterative clustering (SLIC) algorithm is used to segment the color image and the depth image into preset segmentation regi...

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Abstract

The invention is suitable for the image processing technology field and provides a stereoscopic image significance detection method, device and equipment, and a storage medium. The method comprises the following steps of when the request of stereoscopic image significance detection is received, firstly, using the superpixel image segmentation algorithm to segment the color image and the depth image of the stereoscopic image; then, carrying out characteristic extraction on all pixel areas acquired after segmentation through the significance prediction network of a multi-scale area level, acquiring a significance value corresponding to all the pixel areas, processing a pixel area corresponding to each significance value according to each significance value, and acquiring the color significance image of the color image and the depth significance image of the depth image; and finally, through a space fusion network, fusing the color significance image and the depth significance image and generating the significance image of the stereoscopic image. The error of extracting the significance characteristic of the stereoscopic image is reduced and the significance detection accuracy of thestereoscopic image is increased.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method, device, equipment and storage medium for detecting the conspicuousness of a stereoscopic image. Background technique [0002] The development of contemporary computer and multimedia technology, especially the development of mobile devices supported by Internet technology, has had a huge impact on human life and society, and the driving force behind its development is the emerging 3D imaging technology. Compared with traditional 2D visual experience, 3D applications provide users with depth perception and immersive viewing experience. Despite the rapid development of the 3D industry, there are still some challenging problems, for example, visual saliency detection of 3D images, which mainly aims to identify unique regions in 3D images. In addition to its application in video compression, 3D image visual saliency plays an important role in 3D object ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/464G06F18/253
Inventor 王旭张秋丹江健民周宇
Owner SHENZHEN UNIV
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