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A Paper on Automatic Fabrics Fault Processing Using Image Processing Technique in MATLAB

机译:在MATLAB中使用图像处理技术进行织物故障自动处理的论文

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The main objective of this paper is to elaborate how defective fabric parts can beprocessed using Matlab with image processing techniques. In developing countries like Indiaespecially in Tamilnadu, Tirupur the Knitwear capital of the country in three decades yields amajor income for the country. The city also employs either directly or indirectly more than 3lakhs of people and earns almost an income of 12, 000 crores per annum for the country in pastthree decades [2]. To upgrade this process the fabrics when processed in textiles the fault presenton the fabrics can be identified using Matlab with Image processing techniques. This imageprocessing 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 inthis paper. This research thus implements a textile defect detector with system visionmethodology in image processing.
机译:本文的主要目的是阐述如何使用Matlab结合图像处理技术来处理有缺陷的织物部件。在印度等发展中国家,尤其是在泰米尔纳德邦,提鲁普尔(Tirupur)是该国针织服装之都,在过去的几十年中为该国创造了可观的收入。在过去的三十年中,该市还直接或间接雇用了超过30万人,并为该国创造了近每年120亿卢比的收入[2]。为了升级此过程,当织物在纺织品中加工时,可以使用具有图像处理技术的Matlab来识别织物上存在的故障。该图像处理技术是使用Matlab 7.3完成的,对于拍摄的图像,将噪声滤波,直方图和阈值处理技术应用于图像,并获得输出。因此,本研究在图像处理中实现了具有系统视觉方法的纺织品缺陷检测器。

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