원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.5
2013.10
pp.39-48
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
According to grayscale changing characteristics of the brain CT, this paper improves region growth algorithm on the basis of in-depth analysis of brain CT image. In order to get the best combination of the features, the algorithm that extracts the shape feature considering the adjacent parts is proposed based on the idea of chart transferring tree in the tree structure comprehensively. Compared with the traditional extracting algorithms which aim at the whole picture or a single part, the experiments show that the proposed algorithm can obtain a higher diagnostic accuracy.
목차
Abstract
1. Introduction
2. The Segmentation of Brain CT Image
3. Shape Features
4. Shape Feature Extraction
4.1. Basic Idea
4.2. The Brain CT Image Feature Extraction Algorithm
5. Experimental Results and its Analysis
References
1. Introduction
2. The Segmentation of Brain CT Image
3. Shape Features
4. Shape Feature Extraction
4.1. Basic Idea
4.2. The Brain CT Image Feature Extraction Algorithm
5. Experimental Results and its Analysis
References
저자정보
참고문헌
자료제공 : 네이버학술정보
