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

Image mosaic method based on neighborhood Zernike pseudo-matrix of characteristic points

An image stitching and feature point technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as matching failure

Inactive Publication Date: 2009-10-14
郭宝龙 +1
View PDF0 Cites 60 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The splicing effect of this method has been improved, but when there is scaling and rotation of the image, the content of the matching area matching the matching area of ​​the image to be spliced ​​and the matching area corresponding to the reference image often change greatly due to the rotation and scaling of the matching area. matching failure

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 mosaic method based on neighborhood Zernike pseudo-matrix of characteristic points
  • Image mosaic method based on neighborhood Zernike pseudo-matrix of characteristic points
  • Image mosaic method based on neighborhood Zernike pseudo-matrix of characteristic points

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be described in further detail below with reference to the accompanying drawings.

[0055] The steps of the image stitching method of the present invention are as follows:

[0056] Step 1: Extract points of interest.

[0057] to the reference image figure 2 (a) and the image to be spliced figure 2 (b), using the Harris corner detection method to extract feature points, the initially extracted feature points are as follows image 3 (a) and 3(b). For an image I(x, y), the extraction steps of Harris feature points are as follows:

[0058] (1) Calculate the gradient image using the following formula:

[0059] X = I ⊗ ( - 1,0,1 ) = ∂ I / ∂ ...

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 an image mosaic method based on neighborhood Zernike pseudo-matrix of characteristic points, which leads image statistical information (Zernike pseudo-matrix) to be interrelated with the characteristic points of an image by using the following steps: firstly, extracting interest points of an inference image and an input image by utilizing a Harris angle detector, and taking rectangular neighborhoods using the interest points as a center as a local characteristic region with characteristic matching; secondly, calculating the Zernike pseudo-matrix to the rectangular characteristic regions to be used as descriptors of the characteristic region, and realizing the matching of the characteristic points through comparing the Euclidean distance of the characteristic vector of the descriptor of each characteristic region. The matching can have less wrong matching points which are eliminated through a RANSAC (RANdom Sample Consensus) algorithm, and the right matching relation can be calculated to realize the image mosaic. The invention can effectively realize the image registration and mosaic with geometric transformation relations of translation, rotation, small scale zooming, and the like, and can be used for image treatment and image synthesis of fields such as communication, multimedia technology, and the like.

Description

technical field [0001] The invention relates to an image mosaic method based on the pseudo-Zernike moments of the neighborhood of feature points, which can effectively realize image registration and mosaic with translation, rotation, scaling and other geometric transformation relations, and can be used for virtual reality and medical image processing , remote sensing technology and other fields of image registration and stitching. Background technique [0002] Image stitching technology has always been a hot research direction in computer vision, image processing and computer graphics. It can be used to create high-resolution images with a large viewing angle, and has a wide range of applications in the fields of virtual reality, medical image processing, remote sensing technology, and military fields. Image stitching is to stitch a series of partially overlapping images of the same scene into a large, wide-angle, high-resolution image that is close to the original image wi...

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): G06T5/50G06T7/00G06T3/00G06T7/33
Inventor 郭宝龙杨占龙闫允一
Owner 郭宝龙
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