Image matching method for sheltered region based on pixel block

A technology of occlusion area and matching method, applied in image analysis, image data processing, instruments, etc., can solve problems such as poor practicability and wrong judgment, and achieve the effect of high accuracy and strong anti-noise ability.

Inactive Publication Date: 2013-05-15
慈溪思达电子科技有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This algorithm is theoretically feasible, but due to noise or texture factors, even pixels with the same disparity value will have very large differences in similarity, so this algorithm is not practical and prone to misjudgment

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
  • Image matching method for sheltered region based on pixel block
  • Image matching method for sheltered region based on pixel block

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] refer to figure 1 -2. Image matching method for occluded areas based on pixel blocks, based on the reference image f B ( i , j ) as the benchmark, in the reference image f C ( i , j ) to find matching points to form a disparity map d ( i , j ), where the pixels that cannot be successfully matched are listed as occluded pixels O( k , j ), where 0≤ i j k < M, the coefficient M is the pixel width of the image, and the coefficient N is the pixel height of the image.

[0017] The image matching method of the occluded area comprises the following steps:

[0018] (1) The reference image in the f B ( i , j ), select the occluded pixel O( k , j ) as the points to be matched, and construct a rectangular occluded pixel block {O( k +1, j +1),O( k -1, j -1), O(k +1, j -1), O( k -1, j +1), O( k +1, j ), O( k -1, j ), O( k , j -1),O( k , j +...

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

Disclosed is an image matching method for a sheltered region based on a pixel block. The image matching method for the sheltered region based on the pixel block includes the following steps: (1) a sheltered pixel O (k, j) is selected as a to-be matched point in a standard image, a rectangular sheltered pixel block is constructed, a successfully matched pixel x (n, j) adjacent to and at the left end of the sheltered pixel O (k, j) is taken as a center to construct a first sample pixel block, and the parallax value is Dx; a successfully matched pixel y (l , j) adjacent to and at the right end of the sheltered pixel O (k, j) is taken as a center to construct a second sample pixel block, and the parallax value is Dy; (2) a sum of pixel square difference SSD1 of the sheltered pixel block and the first sample pixel block and a sum of pixel square difference SSD2 of the sheltered pixel block and the second sample pixel block are computed; (3) the parallax value of the sheltered pixel O (k, j) is confirmed, when SSD1 is larger than SSD2, d (k, j) is equal to Dy; and when SSD1 is smaller than SSD2, d (k, j) is equal to Dx.

Description

technical field [0001] The invention relates to an image matching method for an occlusion area based on pixel blocks, and belongs to the field of computer stereo vision. Background technique [0002] Computer stereo vision has been applied in many fields, such as visual navigation of mobile robots, face recognition, workpiece modeling, etc. Image matching is a key step in computer stereo vision, and there are still many unsolved problems due to the limitations of current sensor performance and calculation methods. The occlusion problem is one such problem. In the image matching process, due to the limitation of the left and right viewing angles, an occlusion area will be formed. The left boundary area of ​​​​the object in the left image often cannot find the corresponding point in the right image, and at the same time, the right boundary area of ​​​​the right image cannot be found in the left image. Corresponding points, as well as noisy and smooth regions of the image can...

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): G06T7/00
Inventor 刘瑜程晓东
Owner 慈溪思达电子科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2023 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap