In this research, to deal and classify the grade of yarn appearance by using fuzzy logic control system (FLCS) and image processing in matlab, first simple graphical user interface has been required in order to process the image and to get pixel values of the binary image. From this binary image number of black and white pixels, the white color pixel will be taken and formulate some logic rule in fuzzy logic method based on the above given table of the standard image pixels for each series of yarn count (from 8 to 590 Tex).
Conclusion Traditionally, based on the method of ASTM (D-2255), the yarn quality checker sometimes give same grade for which has different yarn surface appearance of the same yarn count. Even in case of blackboard warping, due to the difficult of precisely evaluating the yarn appearance and when sometimes the grade falls between the two consecutive grades, they denotes the grade by +’ sign after the letter based on their perception.
In this paper the yarn appearance classification will be analyzed based on the fuzzy logic system (FLS) after matlab image processing. Generally many methods are available to determine the yarn evenness, many of them are tedious and depend on the operator for this result, while others those less subjective and of high speed, are probability expensive and required high cost for maintenance during damaging time because of their more sensitive and easily damageable parts. Therefore, this research will propose a new and simple method which required cost effective image capture device and computer in addition to the blackboard yarn winding device to evaluate yarn appearance and get accurate grade result by removing the manual testing method limitation.
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