An Automatic Microalgal Cells Counting Method

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.

• Periodical: Advanced Materials Research (Volumes 1010-1012)
• Pages: 178-181
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1010-1012.178
• Online since: August 2014
• Authors: Yun Zhao, De Jian Zheng, Ying Shen*
• Keywords: Digital Image Processing, Mathematical Morphology, Threshold Segmentation

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