Title :
Harmful Algal Bloom recognition based on microscopic images
Author :
Zheng, Haiyong ; Ji, Guangrong ; Zheng, Bing ; Zhang, Hao ; Gulliver, T. Aaron
Author_Institution :
Dept. of Electron. Eng., Ocean Univ. of China, Qingdao, China
Abstract :
Using a microscope to recognize a Harmful Algal Bloom (HAB) requires specialized knowledge and is time-consuming. This method is, however, widely employed by HAB taxonomists. To provide a better solution, a HAB recognition system has been developed which is based on image analysis. This paper presents the architecture of this system, as well as sone performance results. The key component is the libiplhab library based on computer vision libraries (such as OpenCV and LIBSVM), which contain image processing and pattern recognition algorithms suitable for HAB microscope images.
Keywords :
computer vision; image recognition; HAB taxonomists; LIBSVM; OpenCV; computer vision libraries; harmful algal bloom recognition; image analysis; image processing; libiplhab library; microscopic images; pattern recognition; time-consuming; Feature extraction; Graphical user interfaces; Image recognition; Libraries; Microscopy; Pattern recognition;
Conference_Titel :
Communications, Computers and Signal Processing (PacRim), 2011 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4577-0252-5
Electronic_ISBN :
1555-5798
DOI :
10.1109/PACRIM.2011.6033006
