Image segmentation for object recognition and combining AFM-CLSM for the study of neuronal growth cones

The Marie curie research training project aims training to the researcher, and to apply the learnt knowledge. During the initial phase computer vision methods are learnt, and in the later part this knowledge was applied to solve problems in neuroscience. The work is primarily divided into 3 parts. The major part of thesis was to implement a general segmentation algorithm which can be used to extract the object in a bottom-up approach. An attempt was made to introduce new texture feature. Finally the gained knowledge was applied to creating an application for neuronal growth cone analysis by combining multi-modal information from Atomic force microscopy and confocal imaging....