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The objective of this project is to develop a model-based segmentation method, capable of segmenting the upper and lower incisors in panoramic radiographs. This project is done for the course "Computer Vision" at KU Leuven.

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raam93/Incisor-segmentation

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This file contains information for running the project code. 
For detailed description of the project, see Project description.pdf.
For detailed description of the data, see Data description.pdf.
For detailed report on the solution, See Report.pdf or Presentation.pptx.

python main.py --help
usage: main.py [-h] [-init {auto,manual}] [-k K] [-m M] [-s]

A program for model-based segmentation of the upper and lower incisors in
panoramic radiographs

optional arguments:
  -h, --help            show this help message and exit
  -init {auto,manual}, --init_method {auto,manual}
                        The method of finding initial estimate
  -k K, --k K           No. of pixels on either side of a model point for grey
                        level model
  -m M, --m M           No. of sample points on either side of current point
                        for search
  -s, --skip_amf        Skip adaptive median filter in Preprocessing

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The objective of this project is to develop a model-based segmentation method, capable of segmenting the upper and lower incisors in panoramic radiographs. This project is done for the course "Computer Vision" at KU Leuven.

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