Fabric Defect Detection using Wavelet Filter

被引：25
|
作者：
Karlekar, Vaibhav V. [1 ]
Biradar, M. S. [2 ]
Bhangale, K. B. [2 ]
机构：
[1] Tolani Maritime Inst, Elect & Elect Dept, Talegaon Chakan Rd, Pune 410507, Maharashtra, India
[2] Siddhant Coll Engn, Elect & Telecommun Dept, Pune 412109, Maharashtra, India
来源：
1ST INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION ICCUBEA 2015 | 2015年
关键词：
Fabric defect detection; wavelet filter; wavelet decomposition; thresholding; morphology filter;
D O I：
10.1109/ICCUBEA.2015.145
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fabric defect detection is now an active area of research for identifying and resolving problems of textile industry, to enhance the performance and also to maintain the quality of fabric. The traditional system of visual inspection by human beings is extremely time consuming, high on costs as well as not reliable since it is highly error prone. Defect detection & classification are the major challenges in defect inspection. Hence in order to overcome these drawbacks, faster and cost effective automatic defect detection is very necessary. Considering these necessities, this paper proposes wavelet filter method. It also explains in detail its various techniques of getting final output like preprocessing, decomposition, thresholding, and noise eliminating.
引用
收藏
页码：712 / 715
页数：4
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