1. By Divya Sai Jaladi Ravi Chandu K Padmini Krishna N NEURON CLASSIFICATION

2. Classifications of a neuron …? In general there are 4 major classifications of neuron. They are: Multi- Polar Neuron Bi- Polar Neuron Uni- Polar Neuron (Psuedo Neuron) Anaxonic Neuron

3. General Structure of a neuron:

4. Main Goal Of our Project is… ! Automatically Segment the neurons Threshold Quantify neurons Extract noise from the image Find seed points And then extend them to larger images

5. For segmentation We can find types of segmentation plugin and currently we took Robust Automatic Threshold Selection.

8. Color Threshold

12. Analyzing particles..

13. Finding surface area..

14. Here comes the output…. !!

15. Results

16. screen play image… Here we need to select a pixel where we could find a nucleus and there we should change the modifications of an image to bring the neuron out. Type – 32 bits Adjust threshold Finding edges Process – binary – erode

17. Segmented and skeletonized

18. Inverted..

19. Resulted image.

20. Still working on …. Find the seed points Quantify individual neurons Find the volume and surface area Should segment multiple cells for larger images.

21. References Haykin S. Neural Networks and Learning Machines.3rd Ed. London: Prentice Hall, 2009. D. Michael and J. Houchin "Automatic EEG analysis: A segmentation procedure based on the autocorrelation function", Electroenceph. Clin. Neurophysiol., vol. 46, pp.232 - 235 1979 [CrossRef] [CrossRef] http://www.cse.unr.edu/~bebis/CS791E/Notes/Threshol ding.pdf http://www.cse.unr.edu/~bebis/CS791E/Notes/Threshol ding.pdf