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

Planar object detection method based on continuous edge characteristic

A technology of edge features and plane targets, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of insufficient versatility and achieve the effect of solving the problem of insufficient versatility

Active Publication Date: 2016-10-12
FUDAN UNIV
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

To a certain extent, it solves the problem of insufficient generality of existing detection methods

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
  • Planar object detection method based on continuous edge characteristic
  • Planar object detection method based on continuous edge characteristic
  • Planar object detection method based on continuous edge characteristic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention is further described below in conjunction with the accompanying drawings, but the scope of the present invention is not limited in any way.

[0047] 1. Operation process of planar target detection

[0048] like figure 1 As shown, the framework of the present invention can be divided into two parts: model building and target detection. In the model building stage, the contour model of the target is obtained by rasterizing the design drawing or performing continuous edge extraction on the template target. The target detection part uses the contour model of the target Candidate targets are extracted, and the precise location of the target is obtained through target screening and precise positioning algorithms.

[0049] 2. The specific implementation process of plane target detection

[0050] The method for detecting plane objects based on continuous edge features provided by the present invention can be summarized as follows:

[0051] 1) Extract co...

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 planar object detection method based on a continuous edge characteristic, and belongs to the technical field of machine vision image processing. The method comprises the steps including extracting the continuous edge characteristic, establishing a target contour model, extracting candidate objects based on a Hough transformation idea, screening the candidate objects and realizing accurate positioning. The method is suitable for an industrial scene, and can be used to establish a model of an unknown planar object rapidly and realize object detection. The method needs not to be adjusted for the specific object, and is suitable for different planar objects (as well as objects whose surfaces are planar), and the problem that the university of a present visual system is low is solved to certain extent. The detection precision is higher, the processing speed is high, and certain anti-noise capability is provided.

Description

technical field [0001] The invention belongs to the technical field of machine vision image processing, and specifically relates to a method for quickly establishing a model of an unknown planar target and realizing target detection in an industrial scene. Background technique [0002] Image processing technology is usually the core part of a vision system, and the edge extraction technology and target detection technology involved in the present invention are one of the most important research methods in the field of image processing. [0003] When people observe an object, the perceived edge is usually a place where the color has obvious changes, and the mathematical representation of this change in the image is the edge detection operator. The commonly used operators include Roberts operator, Sobel operator, Prewitt operator, Laplacian operator, and Canny operator. Although these traditional algorithms based on edge detection operators can extract edge pixels, many noise...

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): G06K9/32G06K9/46
CPCG06V10/255G06V10/44
Inventor 张文强薛向阳王洪荣张睿路红郑骁庆张超杜正阳
Owner FUDAN 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