Foreground automatic extraction method based on multi-view fusion

An automatic extraction and multi-view technology, applied in the field of image processing, can solve the problems of cumbersome foreground extraction process and inaccurate foreground edges, and achieve the effect of accurate foreground extraction results, improved precision, and improved efficiency
CN107527054BActive Publication Date: 2019-12-24XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2019-12-24

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Abstract

The invention proposes an automatic foreground extraction method based on multi-view fusion, which is used to solve the technical problems that the extraction process is cumbersome and the extracted foreground edge is inaccurate in the existing foreground extraction method based on graph cutting. The present invention first trains the SVM classifier, then grayscales the image to be extracted to obtain a grayscale image, detects the sub-image containing the foreground in the gray-scale image through the trained SVM classifier, and uses the sub-image to be extracted The position coordinates in the image are used as the input of the GrabCut algorithm. Foreground extraction is performed on the image to be extracted to obtain the extraction result under the pixel perspective of the image to be extracted. The superpixel image is generated from the image to be extracted with the SLIC algorithm. By fusing the superpixel image and the pixel perspective The following extraction results can be obtained to obtain accurate foreground extraction results of the image to be extracted. The invention can be used for the application and research of stereo vision, image semantic recognition, three-dimensional reconstruction, image search and the like.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and further relates to an automatic foreground extraction method based on multi-view fusion. The invention can be used in the application and research of stereo vision, image semantic recognition, image search and the like. Background technique

[0002] Foreground extraction is a means to extract objects of interest in an image. It divides the image into several specific regions with unique properties and proposes the technology and process of the target of interest, and has become a key step from image processing to image analysis. The specific explanation is to divide the image into several complementary and overlapping regions according to features such as gray scale, color, texture and shape, and make these features appear similar in the same region, but show obvious differences in different regions. After decades of development and changes, foreground extraction has gradually forme...

Claims

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