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

A target recognition method based on the spatial relationship of contour segments

A technology of spatial relationship and target recognition, applied in character and pattern recognition, instruments, computer parts, etc.

Active Publication Date: 2019-02-01
SHENYANG LIGONG UNIV
View PDF6 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problem of target recognition under complex occlusion conditions, a target recognition method based on the spatial relationship of contour segments is proposed

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
  • A target recognition method based on the spatial relationship of contour segments
  • A target recognition method based on the spatial relationship of contour segments
  • A target recognition method based on the spatial relationship of contour segments

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] A target recognition method based on the spatial relationship of contour segments, such as figure 1 and figure 2 shown, including the following steps:

[0064] (1) Image preprocessing and contour extraction: Preprocess the target image and several template images and extract their respective peripheral contours with contour extraction algorithms. The target to be measured is an image of an uncertain object, and the template image is an image of a certain object.

[0065] (2) Rough matching of image outline based on context: extract the outer outline of the target to be tested, select N feature points on the outer outline, extract the context features of N feature points, and match with the context features of several template images to obtain A part of the candidate targets with high similarity.

[0066] (3) Extract the centroid of the contour segment of the target image to be tested, and establish the spatial relationship; extract the skeleton from the template ima...

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 a target recognition method based on the spatial relationship of contour segments, which comprises the following steps: (1) establishing a database of multi-class target images; (2) extracting the peripheral contour of the target and generating a contour point set; (3) describing the shapes of the two contours according to the contextual shape features of the contour pointset, and obtaining the rough matching results of the targets according to the similarity measurement results of the two contours; (4) constructing the spatial relationship between the images in the library and the occluded images to be recognized according to the skeleton of the whole image and the centroid of the outline of the discrete image; (5) establishing the constraint standard of the characteristic parameters of the spatial relationship, and measure the similarity according to the constraint standard; in the case of complex occlusion, more feature information is provided for recognition in the process of target recognition. When the target is occluded, the target is often divided into several parts, and the outer contour no longer has integrity. In this case, considering the spatial relationship between different contour segments, the recognition rate of occluded target is increased.

Description

technical field [0001] The present invention relates to the technical field of machine vision and target detection, and more specifically relates to a target recognition method based on spatial relationship features of image contour segments. Background technique [0002] Object recognition has always been an important research direction in the development of computer vision. In the field of target recognition, identifying targets under occlusion has always been a difficult and hot spot in the field of target recognition. In general, it is hoped that the recognition features can have good adaptability to the environmental problems of the target to be recognized, so that the target instance can be more effectively recognized from the scene image. In the case of occlusion, both the outline and the feature points of the target are damaged to varying degrees, which causes certain difficulties for recognition. [0003] Contour shapes have very important and stable visual featur...

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): G06K9/46
CPCG06V10/44G06V2201/07
Inventor 宋建辉宋鑫刘砚菊于洋刘韵婷
Owner SHENYANG LIGONG 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