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

Irregular area automatic matching method in digital image

An automatic matching, digital image technology, applied in image analysis, image data processing, character and pattern recognition, etc., to achieve high accuracy

Inactive Publication Date: 2010-09-01
HENAN POLYTECHNIC UNIV
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention mainly solves the problem of automatic matching of irregular areas in digital images, and aims to provide a method for automatic matching of irregular areas in digital images with higher 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
  • Irregular area automatic matching method in digital image
  • Irregular area automatic matching method in digital image
  • Irregular area automatic matching method in digital image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Such as figure 1 Shown is a flow chart of the method for automatically matching irregular regions in digital images of the present invention. The main steps of the method for automatically matching irregular regions provided by the present invention include: collecting images and inputting them into a computer, extracting irregular regions in the images, and calculating the main direction d of the irregular regions Main , Calculate the maximum symmetrical position P of the irregular region, determine the neighborhood of the irregular region, divide the neighborhood into sub-regions, construct a matching descriptor, match and output the result.

[0020] The specific implementation details of each step are as follows:

[0021] Step S1: Collect images and input them into the computer. A digital camera can be used to take two or more images of the same scene from different angles of view and input them into a computer.

[0022] Step S2: extracting irregular regions in 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 relates to an irregular area automatic matching method in a digital image, comprising the following steps: acquiring an image and inputting to a computer; extracting irregular areas in the image; determining the main direction of each irregular area through calculating the average gradient direction of points in the irregular area; determining the maximum symmetric position by calculating the asymmetry of each point; determining the neighbor area of each irregular area by taking the maximum symmetric position as the center and the main direction as the starting direction; dividing the neighbor area of each irregular area into three layers from inside to outside, and further dividing each layer into at least one subarea along peripheral direction; utilizing gradient inner product and outer product operations to construct descriptors matched with the irregular areas; and carrying out area matching and outputting results through calculating the Euclidean distance among the obtained descriptors and utilizing a bidirectional matching criterion to calculate the similarity among the irregular areas. The method of the invention cannot introduce error brought by fitting the shapes of the irregular areas into regular shapes, thus improving matched accuracy.

Description

technical field [0001] The invention relates to the field of automatic matching of image features in computer vision, in particular to a method for automatic matching of irregular regions in digital images. Background technique [0002] Feature matching technology has important applications in many fields such as image retrieval, object recognition, video tracking and augmented reality. In recent years, marked by the proposal of the Scale Invariant Feature Transform (SIFT) technology, the automatic matching technology of image feature points has made great progress; with the Maximally Stable Extremal Regions (MSER for short) ) technology as a symbol, the automatic detection technology of image feature area has also made great progress. However, how to match regions with irregular shapes such as MSER regions is an important problem that needs to be solved urgently. [0003] At present, the existing methods mainly use shape fitting to solve the matching problem of irregular ...

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): G06K9/64G06T7/30
Inventor 王志衡刘红敏邓超贾宗璞杨莹丽
Owner HENAN POLYTECHNIC UNIV
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