Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Parallax image correcting method based on image segmentation and credibility

A parallax image and image segmentation technology, applied in the field of image processing and video processing, can solve the problems of wrong matching and low accuracy of parallax images

Active Publication Date: 2014-12-10
XIDIAN UNIV
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, and propose a parallax image correction method based on image segmentation and reliability on the basis of the traditional stereo matching method, which successfully solves the problem of wrong matching caused by the occlusion effect. The problem that the accuracy of the obtained parallax image is not high

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Parallax image correcting method based on image segmentation and credibility
  • Parallax image correcting method based on image segmentation and credibility
  • Parallax image correcting method based on image segmentation and credibility

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0048] Refer to attached figure 1 , the concrete steps of the present invention are as follows:

[0049] Step 1. Input the left and right viewpoint images in the stereo matching test image library.

[0050] Step 2. Image segmentation.

[0051] For the input left and right viewpoint images, the mean value shift is performed respectively to obtain the segmented images of the left and right viewpoint images, wherein, the specific steps of the mean value shift are as follows:

[0052] In the first step, the 2-dimensional coordinates of the pixel and the color information of the three channels of red, green, and blue are combined into a 5-dimensional spatial coordinate.

[0053] In the second step, a target point is arbitrarily selected in the left and right viewpoint images.

[0054] The third step is to construct a sphere with the selected target point as th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a parallax image correcting method based on the image segmentation and credibility and aims to solve the problem that the accuracy of a parallax image is low after the parallax image correction currently. The method includes 1, inputting left and right viewpoint images; 2, performing image segmentation through mean shift; 3, acquiring an initial parallax image by an adaptive weight stereo matching method; 4, detecting the credibility of the initial parallax image by means of the generated initial parallax image and the matching cost; 5, performing parallax correction on the basis of the initial parallax image and the credibility. By the aid of the method, the problem of an incorrect parallax value caused by the shielding effect is solved, the accuracy of parallax correction is improved, and the parallax image with completely-protected boundary information, natural structure and high accuracy.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a parallax image correction method based on image segmentation and reliability in the technical field of video processing. The invention can effectively solve the wrong matching caused by the occlusion effect between images, improve the accuracy of the parallax image generated by estimation, and is used in the related fields of 3DTV and depth image rendering. Background technique [0002] In the digital age of information, ordinary 2D video can no longer meet the needs of human daily life and work in some aspects, and 3D video technology has become an important field of technological development. Among them, 2D to 3D technology can convert traditional flat video into stereoscopic video. This method is low in cost and strong in applicability. However, due to the limited depth information of the video itself, the resulting stereoscopic video effect cannot meet actual...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T7/00
Inventor 郑喆坤焦李成雷昊臻马文萍马晶晶侯彪
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products