Target recognition method based on image contour characteristic

A technology of target recognition and image outline, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as rotation invariance

Active Publication Date: 2017-08-29
SYSU CMU SHUNDE INT JOINT RES INST +1
View PDF9 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, none of the above methods can find a simple and effective description of the contour to solve the problem of rotation invariance in the contour matching process

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
  • Target recognition method based on image contour characteristic
  • Target recognition method based on image contour characteristic
  • Target recognition method based on image contour characteristic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] Such as figure 1 As shown, a target recognition method based on image contour features includes the following steps:

[0046] S1: Image binarization: performing preprocessing on the image of the object to be tested and several template images to generate a binarized image, the template image is an image of a determined object, and the image of the object to be tested is an image of the object to be tested;

[0047] S2: Establish the feature library of the template outline: extract the complete outline of the object in the binarized template image, take a number of feature points at equal intervals on the outline, and use the context features of the feature points to describe the object outline;

[0048] S3: Feature description of the image to be tested: extract the contour edge of the binarized image of the object to be measured, select a number of feature points on the contour; convert the shape direction of the object to be tested into the orientation of the template;...

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 target recognition method based on an image contour characteristic. The method comprises the steps of preprocessing a template image and a to-be-identified object image for generating a binary image; establishing a characteristic database of an object template contour; extracting a whole contour of an object template binary image, equidistantly acquiring a certain number of characteristic points on the contour, and describing the object contour by means of a context characteristic of the characteristic points; performing target recognition on the to-be-identified object image; extracting the contour edge of the to-be-identified binary image; selecting a certain number of characteristic points; converting the shape direction of the to-be-identified object to the direction of the template; describing the contour of the to-be-identified image after direction changing by means of the context characteristic of the selected points; and determining similarity between the to-be-identified object and the template object through matching cost. Compared with prior art, the target recognition method has advantages of settling a problem of rotational invariance in a contour matching process, realizing invariable rotation in the contour matching process, and realizing effective application in target recognition in the image.

Description

technical field [0001] The present invention relates to the technical field of machine vision and pattern recognition, and more specifically, to a target recognition method based on image contour features. Background technique [0002] The current target recognition methods can be divided into three categories: methods based on appearance features, methods based on shape features, and methods based on the combination of appearance and shape features. Object recognition based on shape features is a hotspot in current research, and significant progress has been made in recent years. From the traditional methods based on Fourier transform or invariant moments, it has developed into the current shape matching methods that are mostly based on the two shape descriptors of contour and skeleton. Compared with point sets, contours have richer information, and contours are not easily affected by changes in illumination, object color, and texture. The most important thing is that they...

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): G06K9/46G06K9/62
CPCG06V10/507G06V10/44G06F18/22G06F18/24
Inventor 邓秋君张东方圳河
Owner SYSU CMU SHUNDE INT JOINT RES INST
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap