DocumentCode :
270013
Title :
Statistical analysis of threshold algorithms in image processing based cancer cell detection
Author :
Koç, Gamze ; Sarıoǧlu, Baykal
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ., İstanbul, Turkey
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
481
Lastpage :
484
Abstract :
In this paper, an algorithm which is implemented for cancer detection in image processing and the results of the algorithm are mentioned. Researched work has three main steps. In first step, images are passed through significant steps for noise removal; at the second step, various histogram thresholds are calculated and at the last step cancer is detected with respect to calculated thresholds. As a result, the highest success rate is obtained as 81.25 percent while the lowest success rate is 37.5 percent.
Keywords :
cancer; cellular biophysics; image denoising; image segmentation; medical image processing; object detection; statistical analysis; histogram threshold calculation; image processing based cancer cell detection; noise removal; statistical analysis; threshold algorithms; Cancer; Conferences; Histograms; Image processing; Market research; Signal processing; Signal processing algorithms; cancer detection; histogram; threshold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
Type :
conf
DOI :
10.1109/SIU.2014.6830270
Filename :
6830270
Link To Document :
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