A fully automatic, multiscale fuzzy C-means (MsFCM) classification method for MR images is presented in this paper. We use a diffusion filter to process MR images and to construct a multiscale image series. A multiscale fuzzy C-means classification method is applied along the scales from the coarse
✦ LIBER ✦
Classification of honeybee pollen using a multiscale texture filtering scheme
✍ Scribed by P. Carrión; E. Cernadas; J. F. Gálvez; M. Damián; P. de Sá-Otero
- Book ID
- 105838759
- Publisher
- Springer-Verlag
- Year
- 2004
- Tongue
- English
- Weight
- 220 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0932-8092
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## Abstract The objective of this study is to investigate the use of pattern classification methods for distinguishing different types of brain tumors, such as primary gliomas from metastases, and also for grading of gliomas. The availability of an automated computer analysis tool that is more obje