IDENTIFICATION AND MEASUREMENT OF CONVOLUTIONS IN COTTON FIBER USING IMAGE-ANALYSIS

Citation
Yj. Han et al., IDENTIFICATION AND MEASUREMENT OF CONVOLUTIONS IN COTTON FIBER USING IMAGE-ANALYSIS, Artificial intelligence review, 12(1-3), 1998, pp. 201-211
Citations number
14
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence
ISSN journal
02692821
Volume
12
Issue
1-3
Year of publication
1998
Pages
201 - 211
Database
ISI
SICI code
0269-2821(1998)12:1-3<201:IAMOCI>2.0.ZU;2-N
Abstract
An image analysis procedure was developed to quantify morphological ch aracteristics of convolutions in individual cotton fibers without pre- tensioning or orientation requirements. The image of each fiber was ca ptured by a PC-based color imaging system using a conventional microsc ope. Ends of individual cotton fibers were glued on a microscope slide without any tension or straightening. A modified watershed technique was implemented to identify individual convolution segments, which wer e defined as sections of the fiber bordered by two neighboring convolu tions. Length, area and perimeter of each convolution segment were mea sured directly from the image. Average width, shape factor and number of convolution segments in mm were calculated from the measured parame ters. Performance of the image analysis algorithm was compared with vi sual inspection for number and position of convolution segments in thr ee different varieties of cotton. Image analysis results agreed with v isual inspection in 89.6% of the tested images.