Statistical analysis of threshold algorithms in image processing based cancer cell detection
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE Computer Society
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2014 IEEE.
Açıklama
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053
Anahtar Kelimeler
Cancer Detection, Histogram, Threshold, Algorithms, Diseases, Image Processing, Cancer Cell Detection, Cancer Detection, Histogram, Histogram Threshold, Noise Removal, Threshold, Threshold Algorithms, Graphic Methods
Kaynak
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
