www.tjprc.org editor@tjprc.org FABRIC FAULTS PROCESSING: PERFECTIONS AND IMPERFECTIONS JAGRUTI MAHURE 1 & Y. C. KULKARNI 2 1 M.Tech Student, Department of I.T, Bharati Vidyapeeth College of Engineering, Bharati Vidyapeeth Deemed University, Pune, Maharashtra, India 2 Assistant Professor, Bharati Vidyapeeth College of Engineering, BharatiVidyapeeth Deemed University, Pune, Maharashtra, India ABSTRACT The main part to present in this paper is to focus on the different types of shortcomings of the system that we have implemented in order to enhance the system further for better working. The main objective of this paper is the processing of the defective fabric parts. Also in order to work on the system we have also focused on the qualities of the system. In Textile industry automatic fabric inspection is important to maintain the quality of fabric. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time since the work of inspectors is very tedious and consumes time and cost. The recognizer acquires digital fabric images by image acquisition device and converts that image into binary image by restoration and threshold techniques KEYWORDS: Image Processing, Gray Image, Histogram, Thresholding, Flaws INTRODUCTION Quality is one of the important factor when it is to be considered in the production of textile fabrics. Fabric quality falls in to two components, i.e., fabric properties and fabric defects. Fabric property is concerned in the field of the raw material, construction parameters and processing methods, and a fabric is considered to be defected when we fail in the right choice of raw material and its processing, it is due to improper input parameters with respect to material, machine and man. Any variation to the knitting process needs to be investigated and corrected [11]. Defects fall into the category. Since when they appear, repair is needed, this is time consuming and sometimes results in fabric rejection. Fabric defect detection has been a long – felt need in the textile and apparel industry. Surveys carried out in the early 1975 shows that inadequate or inaccurate inspection of fabrics has led to fabric defects being missed out, which in turn had great effects on the quality and subsequent costs of the fabric finishing and garment manufacturing processes [22]. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems. Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it [3]. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image [5]. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them. International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) ISSN(P): 2250-1568; ISSN(E): 2278-9448 Vol. 4, Issue 2, Apr 2014, 101-106 © TJPRC Pvt. Ltd.