Research progress in image segmentation and edge detection methods for alien fibers detection in cotton

被引：0
作者：
Ren W. [1 ,2 ]
Du Y. [1 ,2 ]
Zuo H. [1 ,2 ]
Yuan R. [1 ,2 ]
机构：
[1] School of Mechanical Engineering, Tiangong University, Tianjin
[2] Tianjin Key Laboratory of Advanced Mechatronics Equipment Technology, Tianjin
来源：
Fangzhi Xuebao/Journal of Textile Research | 2021年 / 42卷 / 12期
关键词：
Alien fiber; Edge detection; Image pre-processing; Image segmentation; Online inspection;
D O I：
10.13475/j.fzxb.20210204309
中图分类号：
学科分类号：
摘要：
In order to further improve the detection efficiency for picking up alien fibers among cotton, image processing methods for detecting alien fibers were reviewed. This paper analyzed the inaccurate location, background blur and the influence of noise in edge detection methods, and studied the edge continuity and segmentation effect of different alien fibers in the image segmentation methods. The common edge detection methods and image segmentation methods for alien fibers among cotton were discussed, advantages and limitations of various processing methods were analyzed, and the detection methods applicable to various alien fibers were summarized, pointing out the existing problems and deficiencies in current practice. It is concluded that different image processing methods are currently applied to detect different types of alien fibers, and it is not possible to detect all types of alien fibers at the same time. The paper highlighted that the suitable detection algorithms should be selected and combined according to the specific types, contents, physical characteristics of alien fibers to develop an universal algorithm in order to reduce the cost and calculation burden. © 2021, Periodical Agency of Journal of Textile Research. All right reserved.
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页码：196 / 204
页数：8
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