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Computer Engineering ›› 2007, Vol. 33 ›› Issue (13): 188-190. doi: 10.3969/j.issn.1000-3428.2007.13.064

• Artificial Intelligence and Recognition Technology • Previous Articles     Next Articles

Segmentation on Cotton Fiber Cross Sections Based on Mask

YU Suping1,3, ZENG Peifeng2, CHEN Jianping1   

  1. (1. State Key Laboratory on Fiber-optic Local Area Network and Advanced Optical Communication Systems, Shanghai Jiaotong University, Shanghai 200030; 2. College of Computer Science and Technology, Donghua University, Shanghai 201620; 3. College of Information Science and Technology, Donghua University, Shanghai 201620)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-05 Published:2007-07-05

基于图像掩码的棉纤维截面分割

禹素萍1,3,曾培峰2,陈建平1   

  1. (1. 上海交通大学区域光纤通信网与新型光通信系统国家重点实验室,上海200030; 2. 东华大学计算机学院,上海 201620;3. 东华大学信息学院,上海 201620)

Abstract: A method of segmentation on cotton fiber cross sections based on mask is presented. By this method, touching cross sections of fibers can be separated effectively, and the following processes will save time greatly for many pixels can be confirmed as background during this process. Two-double edge output can be restrained after the processing of this method.

Key words: adaptive thresholding, mask, segmentation, fiber cross section, image processing

摘要: 针对棉纤维图像预处理提出了一种基于图像掩码的棉纤维截面分割方法,该方法既能够有效地解决纤维粘连问题,又能够去除大面积的背景区域,降低后续处理的数据量,此外,还抑制了边缘检测中的双边缘效应。

关键词: 自适应阈值, 掩码, 分割, 纤维截面, 图像处理

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