Implementation of Teeth Segmentation in Digitized Dental X-Ray Films with Algorithmic Approaches

We will implement both the paper "Teeth Segmentation in Digitized Dental X-Ray Films" and its proposed methodology. This paper introduces advanced digital image processing techniques for accurate teeth segmentation. Our implementation will process digitized dental X-ray films using a systematic approach: starting with image preprocessing techniques including noise reduction using Gaussian filters and contrast enhancement through histogram equalization. Subsequently, we will employ edge detection algorithms such as Canny or Sobel operators to detect tooth contours, followed by the watershed algorithm for precise tooth segmentation. The implementation will involve detailed discussion of the paper's methods with potential modifications and improvements using OpenCV or MATLAB libraries to better adapt to specific application scenarios. Key functions will include adaptive thresholding for initial segmentation and morphological operations for post-processing refinement.