Image Binarization for the uses of Preprocessing to Detect Brain Abnormality Identification
Author(s):
Prof. Samir Kumar Bandyopadhyay , JIS University; Sudipta Roy, Department of Computer Science and Engineering, Institute of Computer Technology (UVPCE) Ganpat University Ahmadabad, IndiaKeywords:
Binarization, Grey Level, Image VisualizationAbstract:
Computerized MR of brain image binarization for the uses of preprocessing of features extraction and brain abnormality identification of brain has been described. Binarization is used as intermediate steps of many MR of brain normal and abnormal tissues detection. One of the main problems of MRI binarization is that many pixels of brain part cannot be correctly binarized due to the extensive black background or the large variation in contrast between background and foreground of MRI. Proposed binarization determines a threshold value using mean, variance, standard deviation and entropy followed by a non-gamut enhancement that can overcome the binarization problem. The proposed binarization technique is extensively tested with a variety of MRI and generates good binarization with improved accuracy and reduced error.
Other Details:
| Manuscript Id | : | J4RV4I2001 |
| Published in | : | Volume : 4, Issue : 2 |
| Publication Date | : | 01/05/2018 |
| Page(s) | : | 1-4 |
