Title :
A study of automatic recognition and counting system of urine-sediment visual components
Author :
Zhou, Xiaomou ; Xiao, Xingming ; Ma, Chi
Author_Institution :
Coll. of Mech. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
This paper discusses how to develop automatic recognition and count system for urine-sediment visual components. With the help of image processing technology, image segmentation, representation and description, geometric features and texture features have been extracted. The urine-sediment visual components are categorized and counted through micro-image automatic recognition and count system with neural network classifier based on genetic algorithm.
Keywords :
genetic algorithms; image recognition; image representation; image segmentation; medical image processing; counting system; genetic algorithm; geometric feature; image processing technology; image representation; image segmentation; microimage automatic recognition; neural network classifier; texture feature; urine-sediment visual components; Accuracy; Artificial neural networks; Classification algorithms; Feature extraction; Image segmentation; Pattern recognition; Visualization; feature selection; genetic algorithm; image processing; neural network; pattern recognization;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639648
