Abstract: The neuroanatomical morphology of the optic nerve is an important description for understanding different aspects like topological distribution of nerves. Manual identification and morphometry has been usually considered as tedious, time consuming, and susceptible to error. A method that automates the identification and analysis of axons from electron micrographic images is presented. First, using region growing approach binarizes the image by combining the feature information together with spatial information, and obtains a coarse classification between myelin and non-myelin pixels. Next, identifies the axon candidates by region labeling and remove false axons on the basis of the identification ruler. Then the connected myelin sheaths are separated from each other using the maxi…
Further information:
Related posts:
- A framework for automatic construction of 3D PDM from segmented volumetric neuroradiological data sets
- Intermediate filaments of zebrafish retinal and optic nerve astrocytes and Mueller glia: differential distribution of cytokeratin and GFAP
- A novel method for blood vessel detection from retinal images
- Multi-scale retinal vessel segmentation using line tracking
- SPECT/CT 90Y-Bremsstrahlung images for dosimetry during therapy
Posted in