Cotton fault detecting and identifying method based on multi-spectrum technology

An identification method and multi-spectral technology, applied in the field of automatic classification, detection and identification of cotton ginning quality, can solve the problems of being easily affected by interference factors, many image interference factors, and low quality discrimination accuracy

Inactive Publication Date: 2015-07-01
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) Existing technologies and methods generally use visible light as the light source, which can only effectively identify some defects, and the quality discrimination accuracy is low
[0005] (2) There are many image interference factors
Due to the fluctuation characteristics of the light source and various interferences such as shadows, light re

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
  • Cotton fault detecting and identifying method based on multi-spectrum technology
  • Cotton fault detecting and identifying method based on multi-spectrum technology
  • Cotton fault detecting and identifying method based on multi-spectrum technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0078] In order to make the purpose, technical solutions and technical effects of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and corresponding drawings, but the following embodiments cannot be understood as The limitation of the scope of implementation of the present invention is based on the embodiments of the present invention, and all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0079] like figure 1 As shown, the cotton defect detection and identification method based on multi-spectral technology of the present invention, its flow process is:

[0080] 1. Image acquisition: obtain the cotton sample to be tested, the detection system acquires cotton multispectral images, and obtains the defect colo...

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 cotton fault detecting and identifying method based on a multi-spectrum technology. The method comprises the steps: (1) image acquiring; (2) image pre-processing; (3) the preliminary detection of faults; carrying out edge detection on an improved morphological gradient algorithm to obtain the comprehensive edge detection intensities of all faults to obtain an image with contrast enhancement of all faults; (4) precise location of faults: converting the image into a connected domain image through an improved iterative threshold and morphological processing, precisely locating the faults by selecting a main fault algorithm, and extracting fault areas by marking; (5) cotton ginning quality judgment: carrying out statistics on the amount of all faults, and calculating the total cotton faults to obtain a cotton ginning quality grade. The cotton fault detecting and identifying method provided by the invention has the advantages of being simple in theory, fast in detection speed and high in detection precision.

Description

technical field [0001] The invention belongs to the technical field of optical measurement, in particular to an automatic classification detection and identification method for cotton gin quality. Background technique [0002] Lint defects refer to two categories: impurities with fibers and fibers that hinder weaving, including seven types of broken seeds, sterile seeds, wires, soft seed skins, stiff flakes, fibrous seed crumbs, and neps. Since the defects are difficult to discharge during the weaving process, the residual impurities are wrapped in the yarn sliver or attached to the surface of the yarn, resulting in deterioration of the evenness, increase of neps and impurities in the yarn, and increase of the hairiness of the yarn. The surface of the gray cloth made of yarn with a large number of fiber seed crumbs shows a large number of neps and impurities. After dyeing, the cloth surface will appear infertile color spots and hair grains, and the hand feels stiff and rough...

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 张志峰吴学红翟玉生余涛石开苏玉玲王新杰刘海增
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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