Image-based distortion removal method

An image and distortion coefficient technology, applied in the field of image-based de-distortion, can solve problems such as misjudgment, image quality degradation, image measurement error, etc., to improve accuracy, reduce radial root mean square error, and reduce grayscale reconstruction error Effect

Pending Publication Date: 2022-06-03
厦门云感科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing large field of view and short focal length lenses generally have a certain degree of optical distortion during the imaging process, which causes some changes in the size and shape of the imaged image, and th

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-based distortion removal method
  • Image-based distortion removal method
  • Image-based distortion removal method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0043] Example: Obtain a distorted image, perform image feature extraction on the distorted image, and obtain image feature information of the distorted image. The obtained distorted image includes radial distortion and tangential distortion. The radial distortion is caused by the inherent characteristics of the lens itself. , the reason is that the light rays are more curved farther from the center of the lens than near the center, and the tangential distortion is caused by the lens itself being not parallel to the camera sensor plane (imaging plane) or the image plane, which is mostly due to the lens Caused by the installation deviation pasted on the lens module;

[0044] Optical center calculation: First, use the method of equal interception of straight lines to obtain a good distorted image, so that the image distortion is roughly symmetrical about the geometric center point of the image, and the center coordinates of the dot on the edge of the distorted image are accuratel...

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 relates to the technical field of image processing, in particular to an image-based distortion removal method, which comprises the following steps of: S1, acquiring a distorted image, and performing image feature extraction on the distorted image to obtain image feature information of the distorted image; s2, optical center calculation: firstly, obtaining a good distorted image by using a straight line cutting equal method, enabling image distortion to be approximately symmetrical about an image geometric center point, accurately obtaining a center coordinate of a dot on the edge of the distorted image by using an image processing technology, and taking a centroid coordinate in a dot region as the center coordinate of the dot; s3, solving an initial value of a distortion coefficient; s4, optimizing and solving a distortion coefficient; and S5, distorted graph reconstruction: in order to obtain a good corrected image, gray reconstruction, namely gray interpolation, must be carried out on the corrected image, the method is simple, convenient and practical and does not depend on internal parameters of a camera lens and a complex measuring device, and the corrected root-mean-square error and the gray reconstruction root-mean-square error both reach the sub-pixel level after correction.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image-based de-distortion method. Background technique [0002] The existing large field of view and short focal length lenses generally have a certain degree of optical distortion during the imaging process, which causes some changes in the size and shape of the imaged image, and reduces the quality of the image, which brings about subsequent image analysis and image measurement. error, and even cause misjudgment, so an image-based dewarping method is needed to improve the above problems. SUMMARY OF THE INVENTION [0003] The purpose of the present invention is to provide an image-based dewarping method to solve the problems raised in the above background art. [0004] To achieve the above object, the present invention provides the following technical solutions: [0005] An image-based dewarping method, comprising the following steps: [0006] S1, obtain a disto...

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
IPC IPC(8): G06T5/00
CPCG06T5/006
Inventor 陈华云沈海波林琦吴成淳张艺玲
Owner 厦门云感科技有限公司
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.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap