Image Analysis for Cotton Fibers

Abstract

This paper presents the image analysis algorithms developed for a microscopy system that specifically evaluates cotton properties from longitudinal views. The system uses a motorized stage to transport a sample slide to grab sequential images of fiber segments, transversely scans the detected fibers in the images, and outputs both fineness and maturity measurements of cotton based on the statistical data of the massive scans across fibers. The experiments show that the longitudinal data are repeatable and consistent with the data obtained from other testing methods.