journal article·2008-04

Snippet Counting for Cotton Length Distribution Measurement Using Image Analysis

Weilin Xu, Bugao Xu, Wenbin Li, Weigang Cui

Textile Research Journal· Volume 78· Issue 4
Publisher page

Abstract

This paper presents a new method of measuring the number-length distribution of cotton fibers using a snippet-counting method and image analysis techniques. The test samples were aligned at the baseline and combed to form a tuft web, or beard, which was cut into a number of segments of a specific length by a fiber cutter. The snippets in different cut segments were collected and distributed on separate black glossy papers, and then they were digitized and scanned in order into a computer for image analysis. The scanning order indicated the distance of each segment from the cutting baseline, and the number of the snippets on a glossy paper was the frequency of fibers present in the current segment. A specially designed image analysis program was used to trace all snippets in a scanned image, so that the number of snippets could be calculated. After all of the images were analyzed, the fiber numbers in different segments could be summarized, and from these number-length data the distribution, maximum length, mean length, and other fiber statistics could be derived.
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Research context

OpenAlex topics: Textile materials and evaluations · Research in Cotton Cultivation · Industrial Vision Systems and Defect Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Wuhan University of Science and Engineering, Wuhan 430073, China, , Department of Human Ecology, University of Texas at Austin, Austin TX 78712, U.S.A.

Department of Human Ecology, University of Texas at Austin, Austin TX 78712, U.S.A.

Wuhan University of Science and Engineering, Wuhan 430073, China

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