Circle detection method and device

A circle detection and detection algorithm technology, applied in image data processing, instrumentation, calculation and other directions, can solve the problems of high computational complexity, slow calculation speed, large storage space, etc., to achieve iris positioning, improve efficiency, fast and circular The effect of detection

Inactive Publication Date: 2011-11-09
SIEMENS AG
View PDF2 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the computational complexity increases geometrically with the dimension of the parameter space, the computati

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
  • Circle detection method and device
  • Circle detection method and device
  • Circle detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] The embodiment of the present invention proposes a new circle detection method. According to the quality of the image to be detected, a suitable circle detection algorithm is selected for circle detection, and the time required for circle detection can be reduced while ensuring the detection accuracy. High-precision circle detection.

[0022] figure 1 It shows the circle detection method described in the embodiment of the present invention, which mainly includes the following steps:

[0023] Step 101: Perform edge detection on the image to be detected to obtain an edge point set of the image.

[0024] In this step, a traditional image edge detection algorithm may be used, for example, a Canny operator (Canny Operator) to filter the image to obta...

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 circle detection method which comprises the following steps: carrying out edge detection on an image to obtain an edge point set of the image; analyzing the edge point set of the image to obtain a quality analysis result of the image; selecting a circle detection algorithm based on the quality analysis result of the image; and using the selected circle detection algorithm to carry out circle detection on the image. The invention also discloses a device for implementing the circle detection method. By carrying out quality analysis on the image before circle detection and selecting different circle detection algorithms to perform circle detection based on the quality of the image, the invention can effectively balance the two indices, namely the circle detection efficiency and the circle detection accuracy, thereby simultaneously ensuring the circle detection accuracy and improving the circle detection efficiency so as to realize high-speed and high-accuracy circle detection.

Description

technical field [0001] The invention relates to the technical field of automatic detection and biological feature recognition, in particular to a circle detection method in industrial and medical image applications. Background technique [0002] Circle detection is one of the key technologies in industrial as well as medical image applications such as automatic inspection and biometric recognition. Most of the existing circle detection methods realize circle detection by finding the radius and center of the circle in the image. For example, Hough Transform (HT, Hough Transform) is a commonly used analysis feature extraction algorithm. The HT algorithm can be used to extract analysis features such as straight lines, circles, and ellipses in images, and the HT algorithm has certain characteristics for noise, interference, deformation, etc. Better robustness. Circle Hough Transform (CHT, Circle Hough Transform) is a commonly used circle detection algorithm, and its goal is to...

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): G06T7/00
Inventor 张鹏飞
Owner SIEMENS AG
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