A Computer Vision With Soft-Computing Classifier As Integrated System For Fabric Pilling Quantitative Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F14%3A%230003704" target="_blank" >RIV/46747885:24410/14:#0003704 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fibtex.lodz.pl/2014/6/106.pdf" target="_blank" >http://www.fibtex.lodz.pl/2014/6/106.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A Computer Vision With Soft-Computing Classifier As Integrated System For Fabric Pilling Quantitative Analysis

Popis výsledku v původním jazyce

Fabric pilling is a critical property that affects the fabric appearance, however, the available standard methods for pilling testing depend on the subjective evaluation of fabric samples. Objective fabric pilling evaluation using image processing techniques is a process that mainly consists of four basic stages that include surface binarization, pills segmentation, pills quantization, and pills classification. The published work about this topic focuses only on one or more of these stages. On the otherhand, there is a growing need for an integrated system that combines the most effective techniques of each stage and introduces them in a user friendly manner that does not depend on the human factors and their subjective evaluation. This work tries toaddress this problem by creating an integrated system for classifying the fabric?s pilling resistance. The suggested system introduces a new method for generating image library based on the photographs of the EMPA Standards to allow the t

Název v anglickém jazyce

A Computer Vision With Soft-Computing Classifier As Integrated System For Fabric Pilling Quantitative Analysis

Popis výsledku anglicky

Fabric pilling is a critical property that affects the fabric appearance, however, the available standard methods for pilling testing depend on the subjective evaluation of fabric samples. Objective fabric pilling evaluation using image processing techniques is a process that mainly consists of four basic stages that include surface binarization, pills segmentation, pills quantization, and pills classification. The published work about this topic focuses only on one or more of these stages. On the otherhand, there is a growing need for an integrated system that combines the most effective techniques of each stage and introduces them in a user friendly manner that does not depend on the human factors and their subjective evaluation. This work tries toaddress this problem by creating an integrated system for classifying the fabric?s pilling resistance. The suggested system introduces a new method for generating image library based on the photographs of the EMPA Standards to allow the t

Druh

O - Ostatní výsledky

CEP obor

JS - Řízení spolehlivosti a kvality, zkušebnictví

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.30.0065" target="_blank" >EE2.3.30.0065: Podpora tvorby excelentních výzkumných a vývojových týmů na Technické univerzitě v Liberci</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů