Stereo matching method based on image partitioning in three-dimensional television system

An image segmentation and stereo matching technology, applied in image analysis, image communication, stereo system, etc., can solve the problems that parallax cannot represent regional parallax, general real-time performance, high robustness, etc., and achieve fast calculation speed and good real-time performance , Strong anti-interference ability

Inactive Publication Date: 2012-07-25
SHANDONG UNIV
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Problems solved by technology

Its disadvantage is that its segmentation assumption may not always be correct due to the influence of the segmentation algorithm, and due to the influence of forced smoothing, the obtained disparity may not represent the real disparity of the region
[0005] The mean-shift segmentation algorithm is a commonly used method to obtain image segmentation information. The mean-shift al...

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  • Stereo matching method based on image partitioning in three-dimensional television system
  • Stereo matching method based on image partitioning in three-dimensional television system
  • Stereo matching method based on image partitioning in three-dimensional television system

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Embodiment Construction

[0055] The present invention will be further explained below in conjunction with the drawings and embodiments:

[0056] Such as figure 1 As shown, the stereo matching method based on image segmentation in the 3D TV system, the implementation steps of the method are as follows:

[0057] 1) Obtain the left and right images of the target to be matched and calibrate it

[0058] In practical applications, we need to take the left and right images with a parallel binocular camera, such as Figure 3a with Figure 3b Shown are the left and right images of the road image; because of the difference in camera parameters and the interference of lens distortion, the image needs to be calibrated first, so that the same pixel of the same object is on the same horizontal line in the two images to meet the stereo matching limitation factor. In the present invention, in order to better explain the performance of the algorithm, the standard image Tsukuba image pair is selected as the original image, a...

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Abstract

The invention discloses a stereo matching method based on an image partitioning algorithm in a faster self-adaptive three-dimensional television system, aiming at obtaining partitioning information of a reference image and applying the partitioning information to the three-dimensional television system, wherein the method is better in instantaneity, accurate in obtaining depth information and strong in anti-interference ability for image noise (lighting, distortion and the like). The method comprises the following specific steps of: firstly, shooting left and right images using a parallel binocular camera and calibrating the images; secondly, calculating an initial parallax error by using an improved cross polymerization algorithm so as to obtain an initial parallax error image of a left image or a right image; thirdly, adopting the image partitioning algorithm based on a graph theory to partition the left image or the right image calibrated in the first step using the image partitioning algorithm based on the graph theory; and fourthly, carrying out median filtering to the initial parallax error image information obtained in the second step by using partitioned images so as to obtain a parallax error image of the left image or the right image needing to be matched.

Description

Technical field [0001] The invention relates to an image processing method, in particular to a stereo matching method based on image segmentation in a three-dimensional television system. Background technique [0002] Stereo matching is a core component of the computer vision field, and it has a wide range of applications in three-dimensional television, car assisted driving, computer vision and other practices. According to the different matching primitives, it can be roughly divided into feature-based matching algorithms and area-based matching algorithms. Although the feature-based stereo matching method is faster, it cannot obtain the global optimal disparity, so the global effect has been more recent in recent years. Good area-based matching algorithms are more widely used, among which graph-cuts, dynamic programming, and Belief propagation algorithms have greatly improved the accuracy and accuracy of stereo matching . [0003] Jiangbo Lu, Ke Zhang, Lafruit, G., Catthor, F. ...

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Application Information

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IPC IPC(8): H04N13/00G06T7/00
Inventor 陈辉李冉冉
Owner SHANDONG UNIV
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