Texas Tech University

Cotton Fiber Quality Assessment

Cotton Fiber Quality Assessment Using High-Resolution Imaging

The objective of this project was to study and quantify length and maturity measurements for individual cotton fibers to obtain the bivariate distribution of sample length and maturity. Longitudinal scans of cotton fibers were acquired by a confocal microscopy system and processed using image segmentation algorithms. The segmented images were processed with a length algorithm and a maturity algorithm.

The length algorithm computed fiber length using the Digital Straight Segments algorithm. The maturity algorithm extracted several features from the segmented images, based on physical properties of the fiber and on the image's texture. 

fiber

3-D construction of cotton fibers using segmented slices

immature fibers

Analysis and visualization of reconstructed immature cotton fibers

mature cotton

Analysis and visualization of reconstructed mature cotton fibers

 Sponsor: Cotton incorporated

Applied Vision Lab