Fabric Fault Detection using Local Derivative Pattern and Gabor Filter Approach
B. G. Chhapkhanewala1, S. L. Vaikole2
1Burhanuddin GulamAbbas Chhapkhanewala, Department of Computer Engineering, Datta Meghe College of Engineering, Airoli (Maharashtra), India.
2Dr. S. L. Vaikole, Associate Professor, Department of Computer Engineering, Datta Meghe College of Engineering, Airoli (Maharashtra), India.
Manuscript received on 17 January 2018 | Revised Manuscript received on 26 January 2018 | Manuscript Published on 30 January 2018 | PP: 13-20 | Volume-7 Issue-4, January 2018 | Retrieval Number: D2485017418/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The aim of this is to design a defect detection system using image processing techniques. Inspection process is very important for textile industry. Defects decrease the profits of manufacturers and cause undesirable loses. Therefore, to reduce loses manufactures initially started to employ experts to detect the currently available defects on the fabrics. An effective defect detection scheme for textile fabrics is designed in this article. Interestingly, this approach is particularly useful for patterned fabric. In the proposed method, firstly, Local Derivative Pattern (LDP) is adjusted to match with the texture information of non-defective fabric image via genetic algorithm. Secondly, adjusted optimal Gabor filter is used for detecting defects on defective fabric images and to be detected have the same texture background with corresponding defect-free fabric images. Gabor filter is adjusted to match with the texture information of non-defective fabric image via genetic algorithm. The novel high-order local pattern descriptor, local derivative patterns (LDP), for face recognition. LDP is to encode directional pattern features based on local derivative variations. The (n)th-order LDP is proposed to encode the (n-1)th-orders local derivative direction variations, which can be more detailed information than the first-order local pattern used in local binary patterns (LBP).
Keyword: Fabric Fault Detection, Gabor filter, Local Derivative Pattern (LDP), Support Vector Machines (SVM) classier.
Scope of the Article: Support Vector Machines