Title :
Detection of Red Blood Cell in Urine Micrograph
Author :
Cao, Guitao ; Zhong, Cai ; Li, Ling ; Dong, Jun
Author_Institution :
Software Eng. Inst., East China Normal Univ., Shanghai, China
Abstract :
The classical method of red cells examination in urine micrograph is counted by manpower, which has the following deficiencies such as low efficiency, strong subjectivity and poor reliability. This paper focuses on the detection of red blood cells in urine image captured under microscope by image processing. After the urine image is preprocessed by improved Sobel operator, red blood cells are localized using Hough transform and their features, which are extracted and selected by principal component analysis (PCA), can be classified with LDA (linear discriminant analysis). It provides a reliable and convenient detective method for medical research.
Keywords :
Hough transforms; biomedical optical imaging; blood; cellular biophysics; feature extraction; image classification; medical image processing; optical microscopy; principal component analysis; Hough transform; LDA image classification; Sobel operator; feature extraction; linear discriminant analysis; medical image processing; principal component analysis; red blood cell detection; urine micrograph; urine microscopic image; Convolution; Data mining; Feature extraction; Image edge detection; Image processing; Linear discriminant analysis; Microscopy; Principal component analysis; Red blood cells; Statistics;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5162609
