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author:

Zhao, Yun (Zhao, Yun.) [1] (Scholars:赵云) | Zheng, De Jian (Zheng, De Jian.) [2] | Shen, Ying (Shen, Ying.) [3] (Scholars:沈英)

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Abstract:

An automatic counting method for microalgal cells were proposed using digital image processing with characteristics of microalgae microscopic image considered. Firstly, the microalgae image was pretreated with graying, and was then applied the median filtering to remove the noise. Secondly, the image was applied Bot-hat conversion to enhance the contrast. Thirdly, the image was segmented with Otsu algorithm, and was then applied morphological operations. Finally, the binary image segments representing microalgal cells were labeled and counted. The results of experiments showed that this method was simple, efficient and accurate in counting microalgal cells in the microscopic image. © (2014) Trans Tech Publications, Switzerland.

Keyword:

Algae Cells Cytology Image processing Mathematical morphology Median filters Microorganisms

Community:

  • [ 1 ] [Zhao, Yun]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, 350116, China
  • [ 2 ] [Zheng, De Jian]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, 350116, China
  • [ 3 ] [Shen, Ying]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, 350116, China

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ISSN: 1022-6680

Year: 2014

Volume: 1010-1012

Page: 178-181

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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