Development of a novel method for trash segmentation of cotton fibre color measurement

Authors: NAYAB KHAN, MICHAL VIK, FARIDA IRSHAD, ASSAD FAROOQ, MUHAMMAD AZEEM ASHRAF

Abstract: The representation of cotton color is a key element in deciding the cotton grade. The color of cotton fibre is measured with instruments as well as visual assessment. But, these two methods always represent disagreement in the measurements. The main reason for disagreement is the trash particles on the cotton surface. The threshold segregation technique is used for the segmentation of trash and cotton fibres from the image of cotton sample. It is used in this research for the trash segmentation and precise color measurement. The reduction of disagreement between visual and instrument measurements is observed and the color of cotton is presented in more precise manner by using different correlation methods. In the presence of trash particles on the surface, it is not possible to measure the accurate color of cotton sample and the trash particles have to be removed. But, in this research image analysis method is used and the final color value will not include the trash color as it will be segmented from the image.

Keywords: Cotton, threshold segmentation, visual measurement, image analysis, color attributes, comparative grading

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