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

Multiscale invariable ORB algorithm used for stitching images

An image stitching and scale-invariant technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of long stitching time, lack of scale-invariant characteristics, and low matching accuracy of ORB algorithm

Pending Publication Date: 2018-11-13
NORTHEAST FORESTRY UNIVERSITY
View PDF4 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an improved ORB image stitching method, which can improve the traditional image stitching time to a certain extent, the ORB algorithm has a low matching accuracy rate, lacks scale-invariant characteristics, and low image stitching accuracy.

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
  • Multiscale invariable ORB algorithm used for stitching images
  • Multiscale invariable ORB algorithm used for stitching images
  • Multiscale invariable ORB algorithm used for stitching images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] figure 1 It is a flow chart of multi-scale invariant ORB algorithm for image mosaic;

[0047] figure 2 The matching effect diagram of the feature points of the two images, which reflects the scale invariance and anti-rotation of the ORB algorithm;

[0048] image 3 The experiment selected 4 pairs of images under the conditions of rotation and zoom, blur, light intensity, shooting angle, etc., and conducted performance tests, and compared them with the ORB algorithm and the SIFT algorithm;

[0049] Figure 4 Select 2 pairs of images for image stitching experiment;

[0050] Figure 5 The splicing results of the above three methods;

[0051] Figure 6 A zoomed-in image of the seam of the stitching result.

[0052] Table 2 Correct rate and time

[0053]

[0054] From Table 2, it can be seen that the image 3 (a) In the experimental pictures of zooming and rotation, the improved ORB algorithm of the present invention has a remarkable effect. The algorithm of 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 multiscale invariable oriented FAST and rotated BRIE (ORB) algorithm used for stitching images. The algorithm mainly comprises the following steps of firstly, using a featuredetection algorithm based on scale invariability to detect feature points of the image; then using an ORB descriptor to describe features of the detected feature points, then using an ORB matching algorithm to perform rough matching, and using a bidirectional matching method and a RANSAC (random sampling consistency) algorithm to perform fine matching and purifying on matched points, thus furtherimproving accuracy; and at last completing image stitching by using gradual weighted fusion. The method provided by the invention effectively solves that the problem that image feature points detected by the ORB algorithm is lack of the scale invariant feature and high in mismatching rate, and thus the stitched image is poor in quality, and has good robustness and stability for different light conditions, angle rotation, low resolution and scale variation of the image, and is the image stitching method that is short in consumed time, high in accuracy and good in stitching effect.

Description

technical field [0001] The technical field of the present invention is digital image processing, and a novel, rapid and high-precision image mosaic method is proposed by using the ORB algorithm combined with the image feature point scale invariance and two-way matching ideas. Background technique [0002] Image mosaic technology has always been a key research direction in the fields of computer vision, computer graphics and digital image processing. With the rapid development of computer technology, digital image processing technology has also been significantly improved. Image mosaic technology has been used in remote sensing technology, It has been widely used in fields such as virtual reality, medical image processing and military affairs. Image stitching technology is a technology that combines several overlapping images (which may be obtained at different times, different viewing angles, or different sensors) into a large seamless high-resolution image. Image stitching...

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): G06T3/40G06T7/33
CPCG06T3/4038G06T7/33G06T2207/20016
Inventor 任洪娥王健王金聪于鸣
Owner NORTHEAST FORESTRY UNIVERSITY
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com