Abstract
A SURVEY ON RELEVANT EDGE DETECTION TECHNIQUE FOR MEDICAL IMAGE PROCESSING

Ranita Banerjee, Dr. Indra Kanta Maitra and *Prof. Samir Kumar Bandyopadhyay

ABSTRACT

Medical image edge detection is an important work for object recognition of human organs and it is an important pre-processing step in medical image segmentation and 3D reconstruction. With the increasing research on better algorithms for segmentation and feature extraction of medical image, it is important to categorize the already known techniques, their conceptual basis and their overview. This paper is a review of the approaches adopted by several authors for edge detection in medical image processing as well as various traditional approaches which are of two types namely Gradient and Gaussian based techniques. Gaussian edge detection can be further divided into Laplacian of Gaussian (LoG) edge detection and Canny Edge Detection. These approaches are reviewed with an importance placed on enlightening the advantages and drawbacks of these methods for medical edge detection.

Keywords: Medical Edge Detection, Active Contour, Texture Discrimination, Multi-scale Edge Detection, Threshold, Hopfield Neural Network, Generic Algorithm, Bayesian Edge Detection, Low Contrast Lesions.


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