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

A polling map part target identification method based on generalized Hough transformation

A technology for target recognition and parts, applied in the field of image recognition, can solve problems such as inability to detect in real time, and achieve the effect of improving the efficiency of use, improving the recognition efficiency, and saving the time for adjusting the image size.

Pending Publication Date: 2019-05-28
BEIJING AEROSPACE FUDAO HIGH TECH
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] For this reason, the present invention provides a kind of inspection map component target recognition method based on generalized Hough transform, in order to overcome the problem that cannot carry out accurate real-time detection outdoors in the prior art

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 polling map part target identification method based on generalized Hough transformation
  • A polling map part target identification method based on generalized Hough transformation
  • A polling map part target identification method based on generalized Hough transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] This embodiment will detect whether the handwheel parts in the field equipment are missing, including three parts: registration of the inspection map and the reference map based on SURF features, edge extraction of the registration map based on the Canny operator, and generalized Hough transform Target recognition of parts and components; when detecting on-site equipment, first use the SURF algorithm to register the collected inspection map and reference map, and use the Canny operator to extract the edge of the registration map after the registration is completed, so as to Output the edge image; after the output is completed, use the generalized Hough transform to calculate the mutual information between the edge image and the template image, and judge whether it is missing according to the calculated mutual information value. It can be understood that the detection method described in this embodiment can be used not only to judge whether the handwheel in the equipment ...

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 polling map graph part target identification method based on generalized Hough transformation, and the method comprises the steps: A, carrying out the selection of referencepoints in the inspection tour, and carrying out the positioning of each reference point after the selection; B, after positioning the reference points, establishing R-table matrix according to the number of the reference points and the distance; Step C: according to the R-table matrix, establishing a Hough space; D, selecting a maximum peak point as an optimal reference point in the Hough space to form a reference image; And step E, searching reference coordinates in the inspection tour map by using a generalized Hough transformation method, extracting an image from the inspection tour map according to the reference coordinates, and performing mutual information calculation by using the extracted image and the reference image so as to judge whether the part is lost or not. According to the invention, the generalized Hough transformation is used to identify the parts in the inspection tour map, and whether the parts in the inspection tour map are missed or not can be quickly and accurately judged, so that real-time detection of the unmanned aerial vehicle on the equipment in the inspection tour process is realized.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a generalized Hough transform-based component target recognition method in an inspection map. Background technique [0002] With the rapid development of computer technology, target recognition technology has rapidly developed into a very important tool and means, and its application range is becoming wider and wider. However, due to the influence of the environment, shooting angle and its own situation, the targets of related parts such as nuts and handwheels are usually difficult to express analytically, making their identification a very difficult task. So far, researchers have aimed at the target recognition of nut handwheel related parts, mainly for the recognition of nut handwheel related parts taken from the front under ideal conditions. The main application method is circular Hough transform to detect nut handwheel related parts. The inner circle of the compone...

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): G06K9/00G06K9/46
CPCY02P90/30
Inventor 赵戊辰
Owner BEIJING AEROSPACE FUDAO HIGH TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com