Title :
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
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;
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
DOI :
10.1109/ICCAE.2010.5451904
