Brain Image Segmentation Based on Bilateral Symmetry Information
- Resource Type
- Authors
- Bi Shuoben; Jiao Feng; Fu Desheng
- Source
- 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.
- Subject
- medicine.diagnostic_test
Computer science
Segmentation-based object categorization
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-space segmentation
Magnetic resonance imaging
Image segmentation
Information theory
Edge detection
ComputingMethodologies_PATTERNRECOGNITION
Image texture
medicine
Segmentation
Computer vision
Artificial intelligence
business
- Language
Although edge information is the main clue in image segmentation, it can't get a better result in analysis the content of images without combining other information. The segmentation of brain tissue in the magnetic resonance imaging (MRI) is very important for detecting the existence and outlines of tumors. In the paper, an algorithm about segmentation based on the symmetry character of brain MRI image is presented. Our goal is to detect the position and boundary of tumors automatically. Experiments were conducted on real pictures, and the results show that the algorithm is flexible and convenient.