Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
533985 | Pattern Recognition Letters | 2013 | 8 Pages |
Abstract
•Histogram filtration was applied.•Valleys were used for histogram masking.•Brain image were extracted with original info.
Several segmentation methods have been reported with their own pros and cons. Here we proposed a method for object extraction from T2 weighted (T2) brain magnetic resonance (MR) images. The proposed method is purely based on histogram processing for gradient calculation. The proposed method utilizes the histogram filtering technique as a pre-processing. The primary brain areas; gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) are extracted out efficiently from 2D and 3D images. The method has been successfully implemented on human brain MR images obtained in clinical environment.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Ghulam Gilanie, Muhammad Attique, Hafeez-Ullah, Shahid Naweed, Ejaz Ahmed, Masroor Ikram,