Picture correction method and system based on ORB algorithm

A correction method and algorithm technology, which is applied in the image correction and system field based on the ORB algorithm, can solve problems such as small translation or rotation of sequence images, inability to read image information, and inability to meet subsequent image processing requirements, etc., to eliminate false matching points Effect

Pending Publication Date: 2018-09-28
WUYI UNIV
View PDF11 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the daily shooting process, there will inevitably be jitter or deflection, etc., resulting in small translation or rotation between sequence images, which cannot meet the requirements of subsequent image processing, such as errors in reading image information or failure to read image information, so must Image registration correction should be performed first

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
  • Picture correction method and system based on ORB algorithm
  • Picture correction method and system based on ORB algorithm
  • Picture correction method and system based on ORB algorithm

Examples

Experimental program
Comparison scheme
Effect test

application example 1

[0071] refer to figure 2 , including the following steps:

[0072] The camera collects image data and prepares for uploading;

[0073] Input the picture to be corrected and the template picture;

[0074] Perform feature extraction on the image to be corrected and the template image;

[0075] Perform feature point matching to obtain feature matching point pairs;

[0076] Determine whether the feature matching point pair is greater than 4, if yes, continue to execute downward; if not, return to re-collect image data;

[0077] Compute the homography matrix H.

[0078] Specifically, the homography matrix H is calculated by the following formula:

[0079] For two images, suppose the point on the template image is (x' i ,y' i ), the point on the target image is (x i ,y i ), the projection transformation relationship of the two images is as follows:

[0080]

[0081] or in vector form:

[0082] A'=HA

[0083] In the formula: A'=(x' i ,y' i ,z' i ) T , A=(x i ,y ...

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 picture correction method and system based on an ORB algorithm. The ORB algorithm and perspective transformation are combined in use. The method comprises the specific operation steps of S1, feature point detection; S2, feature point description; S3, feature point matching; S4, preliminary screening of matching point pairs; S5, acquisition of first N optimal point pairs;S6, calculation of a homographic matrix H; and S7, image registration and correction. Compared with existing methods, the method has the remarkable advantages that operation speed is 100 times that ofa SIFT algorithm and 10 times that of a SURF algorithm, correction precision is higher than that of the SIFT algorithm and slightly lower than that of the SURF algorithm, the method has rotation invariance, and the noise sensitivity problem is solved, so that the final correction effect is certainly ideal; and during calculation of the homographic matrix H, a random sampling consensus (RANSAC) algorithm is adopted, so that the homographic matrix H is solved more robustly, and mistaken matching points are eliminated.

Description

technical field [0001] The present invention relates to the technical field of image correction methods, in particular to an ORB algorithm-based image correction method and system. Background technique [0002] In the daily shooting process, there will inevitably be jitter or deflection, etc., resulting in small translation or rotation between sequence images, which cannot meet the requirements of subsequent image processing, such as errors in reading image information or failure to read image information, so must Image registration correction should be performed first. Image registration correction is an extremely important technology in modern information processing, and it is all image analysis tasks that need to combine multiple data sources to obtain final information, such as image fusion, change detection and multi-channel image restoration and reading hidden images. The accuracy of image correction will directly affect the quality of follow-up work for the necessary...

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): G06T5/50G06T7/38
CPCG06T5/50G06T7/38G06T2207/10016G06T2207/20221
Inventor 曾军英冯武林秦传波甘俊英翟懿奎
Owner WUYI UNIV
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