A new method for the cell-objects extraction of microscopic phytoplankton images

Author

Yuan, Peng ; Ji, Guangrong ; Qiao, Xiaoyan ; Zhen, Haiyong

Author_Institution

Dept. of Electron. Eng., Ocean Univ. of China, Qingdao, China

Volume

1

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

501

Lastpage

504

Abstract

Cell objects extraction is an important step for the phytoplankton identification. This paper presents a new method to extract the phytoplankton cell from a microscopic image with noises of impurities and sands. The method proposed analyzes the eight-direction projections of the cell´s binary images to fix the cell´s position and extract it. This new approach has been adopted by a phytoplankton identification system and can also be used for other systems with the same purpose.

Keywords

biology computing; image processing; microorganisms; object detection; cell-objects extraction; microscopic image; microscopic phytoplankton images; phytoplankton cell; phytoplankton identification system; Algae; Cells (biology); Data mining; Image segmentation; Impurities; Microscopy; Morphology; Oceans; Pixel; Tides; image projection; image segmentation; microscopic image; object extraction; red ride phytoplankton identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451904

Filename

5451904