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Multi-view video segmentation method based on graph cut

A multi-view video and viewpoint image technology, which is applied in the field of image processing and can solve problems such as the influence of segmentation results.

Inactive Publication Date: 2016-09-21
ZHEJIANG WANLI UNIV
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AI Technical Summary

Problems solved by technology

Another researcher achieves segmentation by selecting initial feature points on the contour obtained by depth segmentation and introducing the concept of motion geometric space (MGS), but when the selected initial point deviates from the contour of the target object, the segmentation result will be seriously affected

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  • Multi-view video segmentation method based on graph cut
  • Multi-view video segmentation method based on graph cut
  • Multi-view video segmentation method based on graph cut

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Embodiment Construction

[0110] Specific embodiments of the present invention will be described in detail below in conjunction with specific drawings. It should be noted that the technical features or combinations of technical features described in the following embodiments should not be regarded as isolated, and they can be combined with each other to achieve better technical effects. In the drawings of the following embodiments, the same reference numerals appearing in each drawing represent the same features or components, which can be applied in different embodiments.

[0111] The present invention provides a multi-viewpoint video segmentation method based on graph cut, which mainly includes image segmentation based on improved Grabcut algorithm and image segmentation based on parallax matching. The overall process is as follows: figure 1 shown. The image segmentation steps based on the improved Grabcut algorithm are as follows:

[0112] Step S100, input the image of viewpoint 1, and obtain the ...

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Abstract

The present invention relates to a multi-view video image segmentation method based on graph cut and view correlation, which belongs to the field of image processing. With the object to overcome the shortcomings seen in a prior method such as poor robustness, slow execution rate and unsatisfactory segmentation effect, a multi-view video image segmentation method is provided which comprises mainly two parts. An improved Grabcut algorithm is used to segment any single viewpoint image that is given. The introduced smooth item makes it easier to extract a target from the background and the measure to protect edge of the target ensures that the edge of an obtained target is still a smooth one. On the basis of the obtained target of viewpoint image, other targets of viewpoint images are extracted by view disparity matching and a morphological processing method. The algorithm adopts a segmentation method featuring stereoscopic targets matching and tracking in a super-pixel domain, improves the Slic super-pixel generation algorithm and redefines the energy function, which effectively raises the segmentation efficiency under the premise of ensuring a segmentation result with high accuracy and promises the algorithm for wide applications.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a multi-viewpoint image segmentation technology, in particular to a multi-viewpoint video image segmentation method based on graph cut and view domain correlation. Background technique [0002] With the continuous development of multimedia technology and the improvement of people's living standards, ordinary video can no longer meet people's visual needs. Different from ordinary video, multi-view video is an image sequence obtained by using multiple cameras to shoot the same scene from different positions. It can provide depth information of real three-dimensional world scenes, and has a stronger sense of three-dimensionality and realism, so it is very popular among people. . Object-based video technology has attracted extensive attention in stereoscopic image and video processing due to its advantages of good semantic awareness and interactive operation. Therefore, object-based s...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10016
Inventor 朱仲杰戴庆焰王玉儿
Owner ZHEJIANG WANLI UNIV
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