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

Fast image registration method based on wavelet decomposition and Harris corner detection

A wavelet decomposition and corner detection technology, used in image analysis, image data processing, instruments, etc., can solve the problems of poor anti-noise, anti-interference ability, poor image matching accuracy, poor real-time matching, etc., to improve the matching accuracy accuracy, improve accuracy, ensure accuracy and real-time effect

Inactive Publication Date: 2014-03-26
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the Harris corner detection algorithm is the most widely used image registration method in the feature-based image registration algorithm, but this algorithm is computationally complex, which makes the real-time matching poor. , making its anti-noise and anti-interference ability poor, resulting in poor image matching 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
  • Fast image registration method based on wavelet decomposition and Harris corner detection
  • Fast image registration method based on wavelet decomposition and Harris corner detection
  • Fast image registration method based on wavelet decomposition and Harris corner detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0027] The present invention provides a kind of fast image registration method based on wavelet decomposition and Harris corner point detection, this method is carried out under computer hardware environment, Windows2000 / XP; Matlab or C language or C++ etc. any kind of language environment software all can realize , this embodiment adopts the matlab language environment, and the flow chart is as figure 1 As shown, the following steps are specifically included:

[0028] Step 1. Input two images F in matlab 1 and F 2 , where F 1 is the reference image, F 2 For the image to be registered, use the function rgb2gray() in matlab to convert the two images from the three-dimensional true color image to the two-dimensional grayscale image respectively, and record the grayscale image of the reference image and the image to be registered as image f 1 and image ...

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 fast image registration method based on wavelet decomposition and Harris corner detection. The size of an image is reduced through the wavelet decomposition, so that the amount of computation is reduced, and the real-time performance of image registration is improved. In addition, the process of the wavelet decomposition is a process of low-pass filtering, and therefore unpitched sound can be processed. Furthermore, a Harris corner detection algorithm is adopted for corner matching. Meanwhile, corners of mismatching points are removed, so that the anti-noise capacity and the anti-jamming capacity are high, and the accuracy of image matching is further improved.

Description

technical field [0001] The invention relates to technologies related to digital image processing and model identification, and is suitable for image processing and pattern recognition related fields including navigation, maneuvering target tracking, state monitoring, etc., and specifically relates to a fast image registration method based on wavelet decomposition and Harris corner detection . Background technique [0002] Image registration is a fundamental problem in image processing. With the development of computer technology, image registration algorithms have developed rapidly, and have been widely used in remote sensing, military, medical, navigation, imaging guidance, transition detection and other fields. [0003] At present, there are two main types of image registration methods: one is the region-based image registration method, which refers to using the gray value relationship between the pixels of two images to determine the parameters of the transformation mode...

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 闫莉萍王晓林彭晶晶夏元清王美玲邓志红付梦印
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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