An Imaging-Based Mote Counting Method

Min Li; Gang Fang; Hinks, David
January 2014
Proceedings of the Annual International Conference & Exhibition ;2014, p117
Conference Proceeding
Motes are seed fragments that negatively impact the value and quality of cotton if they are visible. The ability to accurately and rapidly count motes is important to efficient quality control and research to improve wet processing of cotton. Reported is a new method of counting motes in greige/bleached cotton fabrics based on innovative image processing technology. The method counts the motes semi-automatically using a process as follows: cotton fabrics containing motes on the fabric are scanned into a gray scale image with a high resolution scanner; characteristic parameters of motes are analyzed by imaging software to set thresholds in a counting programming. The number of motes in the test area and the estimated number of motes per unit area in the cotton fabrics are counted based on the established thresholds. The method was shown to exhibit higher accuracy and objectivity compared to conventional, visual counting methods.


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