Image shape recognition method, device, equipment and computer storage medium

A recognition method and a technology of a recognition device, which are applied in the field of image processing, can solve problems such as poor recognition accuracy, and achieve the effects of high accuracy, reduced signal, and enhanced signal

Active Publication Date: 2021-02-26
SHENZHEN A&E INTELLIGENT TECH INST CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention mainly solves the problem of poor recognition accuracy of the image recognition method based on Hough transform 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
  • Image shape recognition method, device, equipment and computer storage medium
  • Image shape recognition method, device, equipment and computer storage medium
  • Image shape recognition method, device, equipment and computer storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0038] see figure 1 , figure 1 It is a schematic flow chart of an embodiment of the shape recognition method of the present invention, wherein the shape recognition method is used to recognize the shape to be recognized in the image, and select the shape to be recognized from the candidate shapes, specifically including the following steps:

[0039] S1: Acquire an original image, where the original image includes multiple foreground pixels.

[004...

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

A shape recognition method and device in an image, wherein the recognition method includes recognition of a shape to be recognized, and selecting the shape to be recognized from candidate shapes, specifically including the steps of: acquiring an original image (S1); based on the shape corresponding to the shape to be recognized Hough transform formula, perform Hough transform on the original image to obtain the function image (S2); calculate the modulus of the first-order gradient of each point in the function image to obtain the gradient image (S3); determine the gray value of each point in the gradient image The local maximum point corresponding to the local maximum point is obtained (S4); based on the Hough transform formula corresponding to the shape to be recognized, the local maximum point is subjected to Hough inverse transform to obtain the candidate shape corresponding to the local maximum point, and This is taken as the recognition result of the shape to be recognized (S5). This recognition method has high accuracy for the recognition of the shape in the image.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a shape recognition method, device, equipment and computer storage medium in an image. Background technique [0002] Image processing and recognition is an important field of artificial intelligence. It belongs to advanced computer vision technology. It has been widely used in the matching of maps and terrains, the recognition of fingerprints and seals, the restoration of historical text and picture documents, and various industrial and detection robots. and other fields. [0003] In the modern semiconductor industry, various technologies have been converted to intelligence. Among them, the vision system based on the image recognition algorithm in the equipment is the key technology in the industry. Workpieces, to perform different operations on workpieces of different shapes, and workpieces generally have key features of geometric shapes such as straight lines and circles, so th...

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 Patents(China)
IPC IPC(8): G06K9/46
CPCG06V10/44G06V10/48G06V10/40G06F18/00
Inventor 郭涛
Owner SHENZHEN A&E INTELLIGENT TECH INST CO LTD
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