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

Automatic Detection Method of Minimal Repeating Unit in Printed Fabric Image

A repeating unit, automatic detection technology, applied in the textile field, can solve problems such as inability to process complex printed fabrics, save labor and material costs, avoid labeling images, and reduce difficulty and workload.

Active Publication Date: 2022-05-03
JIANGSU OCEAN UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Chung-Feng Jeffrey Kuo, Kuo et al proposed an automatic repetitive pattern detection framework consisting of sub-pattern image clustering and geometric segmentation, specifically for gray printed fabrics using a fuzzy C-means clustering algorithm and a specific cluster validity criterion The pattern image, and then the repeated pattern is segmented by Hough transform, but only handles simple patterns and background scenes such as dot patterns, but cannot handle complex printed fabrics with various patterns

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
  • Automatic Detection Method of Minimal Repeating Unit in Printed Fabric Image
  • Automatic Detection Method of Minimal Repeating Unit in Printed Fabric Image
  • Automatic Detection Method of Minimal Repeating Unit in Printed Fabric Image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0024] It should be understood that terms such as "having", "comprising" and "including" as used herein do not entail the presence or addition of one or more other elements or combinations thereof.

[0025] It should be noted that the experimental methods described in the following embodiments, unless otherwise specified, are conventional methods, and the reagents and materials, unless otherwise specified, can be obtained from commercial sources.

[0026] like Figure 1-3 As shown, the present invention provides a method for automatic detection of the minimum repeating unit of a printed fabric image, comprising:

[0027] Scan the printed fabric into an image. The printed fabric is a printed product with multiple minimum repeating unit areas (also called "minimum turns"). The...

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 method for automatically detecting the smallest repeating unit of a printed fabric image, comprising: scanning the printed fabric into an image; manually selecting a rectangular area containing several pixels in the image, and selecting at least two vertices of pixels as the key point; detect a rectangular subgraph similar to the rectangular area image in the image, and mark the key points of the rectangular subgraph, adjust the pixel distance so that the number of key points is the minimum, which is a similar point; according to the number of similar points Identify minimal repeating units. The invention can realize the minimum repeating unit detection for processing color printed fabrics and complex printed fabrics with various patterns, and greatly reduces the difficulty and workload of color separation and plate making.

Description

technical field [0001] The present invention relates to the textile field. More specifically, the present invention relates to a method for automatic detection of the minimum repeating unit of printed fabric images. Background technique [0002] In textile industry automation, the smallest repeating unit (minimum repeating unit area) of printed fabric images is one of the important features that may affect the visual characteristics of textile appearance. Early automatic MRP detection research was carried out based on pattern periodic analysis of computer technology. Wood uses Fourier and related transformations combined with the periodicity of the fabric surface to characterize the carpet pattern, specifically through the angular Fourier power spectrum and autocorrelation function to analyze the periodicity of the weft and warp yarns (yarn spacing) of plain cotton fabrics, focusing more on Spectral analysis of woven fabrics, rather than printed fabrics, is difficult to mig...

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): G06V10/25G06V10/74G06V10/56G06V10/44
CPCG06V10/245G06V10/50G06V10/44
Inventor 张键薄丽玲张恒汪严龙
Owner JIANGSU OCEAN UNIV
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