Fabric fuzzy ball grade evaluation method based on relative total variation model and MSER

A technology of relative total variation and grade evaluation, applied in the field of grade evaluation, can solve problems such as uneven illumination, influence of texture information, inability to accurately segment hair balls, etc., to enhance hair ball information, eliminate uneven lighting, objective and accurate The effect of evaluation

Pending Publication Date: 2019-08-13
XI'AN POLYTECHNIC UNIVERSITY
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for evaluating the grade of fabric hair balls based on the relative total variation model and MSER (Maximum Stable Extremum Region), which solves the problem that the ...

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
  • Fabric fuzzy ball grade evaluation method based on relative total variation model and MSER
  • Fabric fuzzy ball grade evaluation method based on relative total variation model and MSER
  • Fabric fuzzy ball grade evaluation method based on relative total variation model and MSER

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0115] Use this method to take photos of standard samples, such as figure 2 Shown are 1-5 fabric pompom images for analysis. The computer processor used in the experiment is Intel i5-4460, the main frequency is 3.20GHz, equipped with 4G memory, Windows 7 operating system, and the software compilation environment is MatlabR2015b.

[0116] After preprocessing in step 1, the images are as follows: image 3 and Figure 4 shown, from figure 2 and image 3 Contrast results: After processing the hair ball image through histogram equalization, the contrast between the hair ball and the fabric texture background is enhanced. At the same time, it can be clearly seen that the periphery of the image is darker than the center of the image. This phenomenon occurs because the complex lighting conditions at the image collection site cause uneven illumination on the surface of the fabric, which is not conducive to the subsequent hairball segmentation. Therefore, it is necessary to elimina...

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 fabric fuzzy ball grade evaluation method based on a relative total variation model and MSER, and the method comprises the steps: firstly, collecting an original image of a fabric, carrying out the preprocessing, and enhancing the fuzzy ball edge information while eliminating the phenomenon of uneven illumination of the image; then, adopting a relative total variation model to inhibit the texture information of the fabric for the processed image, and effectively eliminating the texture structure of the fabric; then, segmenting a fuzzy ball area in the fabric by adopting an MSER algorithm, and eliminating isolated pixel points in the fuzzy ball image area; and finally, calculating a hair ball proportion, and establishing an evaluation grade of the hair ball to realize objective evaluation of the hair ball grade. The method solves the problem that the grade of the fuzzy ball cannot be accurately evaluated because the fuzzy ball cannot be accurately segmented dueto the influence of uneven illumination and texture information during the fuzzy ball segmentation in the existing method, can replace manpower to effectively complete the evaluation of the grade ofthe fuzzy ball of the fabric, and can meet the actual industrial requirements.

Description

technical field [0001] The invention belongs to the technical field of textile testing and evaluation, in particular to a method for evaluating fabric pill grades based on a relative total variation model and MSER. Background technique [0002] Fabric pilling is the phenomenon that fluff and ball particles are produced on the surface of the fabric under various frictions such as daily wearing and washing. The existence of pilling will affect the feel and appearance of fabrics, and at the same time bring great troubles to textile enterprises and have a great impact on the practical performance of fabrics. Therefore, the pilling level of fabrics has become an important indicator to measure the quality of fabric products. At present, the fabric pilling grade is usually divided into five grades in the world at present, grade one indicates the most serious degree of pilling, grade five indicates that there is almost no pilling phenomenon on the surface of the fabric, and the degr...

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): G06T7/00G06F17/15G06T3/40G06T5/50G06T7/11G06T7/155G06T7/41
CPCG06T7/0006G06T7/11G06T7/155G06T7/41G06T5/50G06F17/15G06T3/40G06T2207/30124G06T2207/20024
Inventor 张宏伟杜林涛景军锋张蕾李鹏飞
Owner XI'AN POLYTECHNIC UNIVERSITY
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