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Digital Image Watermarking Using Sine Transform Technique Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Review—Edge Detection Techniques in Dental Images

Authors : Aayushi Agrawal, Rosepreet Kaur Bhogal

Published in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Publisher: Springer International Publishing

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Abstract

Edge detection plays an important role in digital image processing applications. The main aim of edge detection is to identify the discontinuity in images, where the sharp changes in intensity take place. This research work presents the edge detection technique in dental X-ray images (panoramic radiograms), which is advantageous to separate teeth individually for better classification and identification of diseases. The objective is to study and compare the various algorithms that are Sobel, Prewitt, Canny, multiple morphological gradient (mMG), line analyzer, neural network, genetic algorithm, and infinite symmetric filter (ISF), multi-scale and multi-directional analysis with statistical thresholding (MMST), and fuzzy logic approach for edge detection in dental X-ray images. There are many difficulties in finding diseases from panoramic dental images only, and hence to overcome these difficulties edge detection is introduced. Some of the dental diseases that require edge detection for their identification are discussed. Based on capability of detecting the diseases accurately and total number of diseases detected from the dental images by the use of edge detection, comparison of results takes place.

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Metadata
Title
A Review—Edge Detection Techniques in Dental Images
Authors
Aayushi Agrawal
Rosepreet Kaur Bhogal
Copyright Year
2019
Book
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_128