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
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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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