Detection of tumor with Otsu-PSO method on brain MR image [Beyin mr görüntüsünde otsu-pso yöntemi ile tümör tespiti]
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE Computer Society
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Multiple image thresholding is a popular method used to separate homogeneous subsets of gray level images. To find the optimum threshold in the image in the literature is still a research topic. Many image thresholding method uses the histogram of the image. In this study, the objective function of Otsu method which is a statistical process, Particle Swarm Optimization with an intuitive algorithm (PSO) by maximizing, the optimal threshold values on a medical image were studied to find. The values obtained were tested with a standard test image and brain magnetic resonance (MR) image exposed on the tumor region in segmentation, Otsu-PSO method performance was monitored. © 2014 IEEE.
Açıklama
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053
Anahtar Kelimeler
Image Thresholding, MR, Otsu, PSO
Kaynak
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
