Putomated Fabric Fault Detection System
B. G. Chhapkhanewala1, S. L. Vaikole2

1Burhanuddin GulamAbbas Chhapkhanewala, Computer Engineering, Datta Meghe College of Engineering, Airoli(Thane), India.
2Dr. S. L. Vaikole, Associate Professor, Computer Engineering, Datta Meghe College of Engineering, Airoli(Thane), India.

Manuscript received on 12 September 2017 | Revised Manuscript received on 28 September 2017 | Manuscript published on 30 September 2017 | PP: 36-40 | Volume-6 Issue-4, September 2017 | Retrieval Number: D1706096417©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: An effective defect detection scheme for textile fabrics is designed in this paper. 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 defective fabric images to be detected have the same texture background with corresponding defect-free fabric images. The novel high-order local pattern descriptor, local derivative pattern (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 -order local derivative direction variations, which can be more detailed information than the first-order local pattern used in local binary pattern (LBP). The significance of the proposed approach lies in selecting Gabor filter parameters with an abundance of choices to build the optimal Gabor filter and achieving accurate defect detection on patterned fabric. High success rate and accuracy with little computational time online are obtained in the defect detection on fabrics, which indicate that the suggested method can be put to use in practice.
Keywords: Fabric Fault Detection, Local Derivative Pattern (LDP), Gabour Filter, Loacl Binary Pattern(LBP)

Scope of the Article: Computer Graphics, Simulation, and Modelling