FDAS - A KNOWLEDGE-BASED FRAMEWORK FOR ANALYSIS OF DEFECTS IN WOVEN TEXTILE STRUCTURES

被引：93

作者：

SRINIVASAN, K ^{[1
]}

DASTOOR, PH ^{[1
]}

RADHAKRISHNAIAH, P ^{[1
]}

JAYARAMAN, S ^{[1
]}

机构：

[1] GEORGIA INST TECHNOL,SCH TEXT & FIBER ENGN,ATLANTA,GA 30332

来源：

JOURNAL OF THE TEXTILE INSTITUTE | 1992年 / 83卷 / 03期

关键词：

Fabric defects analysis system (FDAS) - Woven textiles;

D O I：

10.1080/00405009208631217

中图分类号：

TB3 [工程材料学]; TS1 [纺织工业、染整工业];

学科分类号：

0805 ; 080502 ; 0821 ;

摘要：

Defects in woven textile structures have been analyzed, and a novel scheme for their classification based on their visual attributes is proposed. The proposed scheme can serve as the underlying framework for a vision-based inspection system. The classification framework has been incorporated in software. The resulting knowledge-based system (FDAS - Fabric Defects Analysis System) identifies defects, assigns probable causes for the defects, and suggests plausible remedies to avoid them. The system has been tested with actual fabric defects and has performed well. In addition to being used on the shopfloor, FDAS can be used for training new operators in fabric inspection in weaving and apparel-manufacturing plants.

引用

页码：431 / 448

页数：18