DocumentCode :
2970680
Title :
Automated detection and counting of pus cells on sputum images
Author :
Hamid, Rosyati ; Naim, Faradila ; Arshad, Nurul Wahidah ; Mohamed, Zainai
Author_Institution :
Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Pekan, Malaysia
fYear :
2013
fDate :
7-9 Nov. 2013
Firstpage :
5
Lastpage :
8
Abstract :
This paper discusses on a feature extraction of pus cell in sputum slide image. This invention is developed to analyze and count the content of cells specifically pus cell within a biological sample, and more particularly sputum sample which is useful for sputum quality grading. This pus cell detection is addressed by mean intensity and area for single and overlapping pus cells. It is found that mean intensity and area for single pus cell are ranges from 130-163 and 35-81 respectively. Whereas, with considering other elements exist in sputum image such as epithelial cells and artifacts, the mean intensity for overlapping pus cells are ranges from 130-45 with area of 65-300. This system has the sensitivity of 92.11%, with specificity of 81.82%, accuracy of 87.32% and precision of 85.37.
Keywords :
feature extraction; medical image processing; object detection; automated pus cell detection; biological sample; epithelial cells; feature extraction; mean intensity; pus cell counting; sputum quality grading; sputum slide image; Accuracy; Cells (biology); Feature extraction; Manuals; Object recognition; Sensitivity; Pus cell detection; feature extraction; image processing; sputum images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Computer and Computation (ICECCO), 2013 International Conference on
Conference_Location :
Ankara
Type :
conf
DOI :
10.1109/ICECCO.2013.6718214
Filename :
6718214
Link To Document :
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