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

Online automatic optical detection image retrieval method

An automatic optical detection and image retrieval technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of false positives and false negatives, reduce the amount of calculation, improve the speed of calculation, reduce the rate of false positives and false positives. The effect of reporting

Pending Publication Date: 2020-07-03
广东吉洋视觉技术有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the existing automatic optical inspection software has the problem of false positives and false negatives when detecting target components. The reason for this involves two problems: the light source used when collecting images and the detection algorithm used in the software

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
  • Online automatic optical detection image retrieval method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0017] Such as figure 1 As shown, the embodiment of the present invention discloses an online automatic optical detection image retrieval method, including the following steps:

[0018] 1) Obtain a positional image of at least one electronic component on the standard circuit board through an image acquisition device and / or an image editing device;

[0019] 2) performing 256-level grayscale processing on the position image to obtain a grayscale template image with a grayscale within the range of 0 to 255;

[0020] 3) performing double-threshold binarization processing on the grayscale template image to obtain a template image;

[0021] 4) Obtain the position image of the circuit board to be detected, and obtain the search area image corresponding to the template image according to the double threshold set in step 3);

[0022] 5) Obtain the search area image...

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 an online automatic optical detection image retrieval method. The method comprises the following steps: acquiring a position image of at least one electronic element on a standard circuit board through an image acquisition device and / or an image editing device; performing 256-level graying processing on the position image to obtain a gray template image of which the gray level is in a range of 0 to 255; performing dual-threshold binarization processing on the gray template image to obtain a template image; acquiring a position image of a circuit board to be detected anda search area image corresponding to the template image; and searching a position point with the maximum matching degree with the template image. By means of the online automatic optical detection image retrieval method, the false alarm rate and the missing report rate are greatly reduced.

Description

technical field [0001] The invention relates to the field, in particular to an online automatic optical detection image retrieval method. Background technique [0002] Automatic Optical Inspection (AOI) is a method based on optical principles to detect common defects encountered in circuit board (PCB) welding production. At present, the existing automatic optical inspection software has problems of false negatives and false positives when detecting target components. The reason for this involves two problems: the light source used when collecting images and the detection algorithm used in the software. [0003] Therefore, those skilled in the art are devoting themselves to developing an online automatic optical inspection image retrieval method that reduces the rate of false alarms and false negatives. Contents of the invention [0004] In view of the above-mentioned defects of the prior art, the technical problem to be solved by the present invention is to provide an onl...

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): G06F16/583G06T7/00G06T7/33
CPCG06T7/001G06T7/344G06T2207/30141
Inventor 黄采敏
Owner 广东吉洋视觉技术有限公司
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