Image Segmentation and Multi-modal Study of Neuronal Growth Cones

This book studies the question of obtaining a general and robust Image segmentation and a method to extract shapes for shape based object recognition. A texture classification method using only three filters is proposed which till date is the minimum number of filters used for texture classification achieving top results. It also addresses the issues involved to register images taken from different modalities to study morphology of neuronal growth cones. The work was funded by EC project VISIONTRAIN contract number MRTN-CT-2004-005439.

Autorentext

Shripad Kondra has been a Marie Curie Fellow in Europe, and has done his PhD in Neuroscience from International Institute of Advanced Studies, Trieste, Italy, M.S. in Medial Technology & B.Eng in Biomedical. His interests are image processing, pattern recognition, multi-modal neuroimaging, study of default-mode and network behavior from fMRI.