MR brain image segmentation into several tissue classes is of significant interest to visualize and quantify individual anatomical structures. Traditionally, the segmentation is performed manually in a clinical environment that is operator dependent and may be difficult to reproduce. Though several
Parametrisable skeletonization of binary and multi-level images
โ Scribed by S. Riazanoff; B. Cervelle; J. Chorowicz
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 551 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0167-8655
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Skeletonization has become an important pre-processing step in shape analysis and pattern recognition as it expresses the hierarchical organization of data to be analysed and simplifies the computational procedures. More recently, architectures for image processing have greatly benefitted from the u
A new structure for representing binary images, called the Interpolation-Based Bintree, is introduced. This structure combines the features of some existing representations such as linear quadtrees, binary trees, and interpolation-based codes to improve the performance of operations manipulating gra