The main objective of this paper is to elaborate how defective fabric parts can be processed using Matlab with image processing techniques. In developing countries like India especially in Tamilnadu, Tirupur the Knitwear capital of the country in three decades yields a major income for the country. The city also employs either directly or indirectly more than 3 lakhs of people and earns almost an income of 12, 000 crores per annum for the country in past three decades [2]. To upgrade this process the fabrics when processed in textiles the fault present on the fabrics can be identified using Matlab with Image processing techniques. This image processing technique is done using Matlab 7.3 and for the taken image, Noise Filtering, Histogram and Thresholding techniques are applied for the image and the output is obtained in this paper. This research thus implements a textile defect detector with system vision methodology in image processing.
In this paper ART1 neural network algorithm is used for recognition of color images which speeds up the process of Image processing and its recognition process. But, generally Adaptive Resonance Theory-1(ART-1) network is used only for processing binary digits, but in this paper it may also be used for image recognition. The given fact limits the loss of information as a result, two different colors in which inside one original image can be represented as a same value of binary color during recognition. These mistakes are overcome by our image recognition method here.This method is very attractive because of its low computational overhead, improved performance comparatively than other networks with less number of neurons. Experimental results are given finally which are encouraging in this paper.
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