3D edge detection of medical images using mathematical morphological and cellular logic array processing techniques

Author(s):  
G. Ramesh Chandra ◽  
Towheed Sultana ◽  
G. Sathya ◽  
E.G. Rajan
Author(s):  
Y.A. Hamad ◽  
K.V. Simonov ◽  
A.S. Kents

The paper considers general approaches to image processing, analysis of visual data and computer vision. The main methods for detecting features and edges associated with these approaches are presented. A brief description of modern edge detection and classification algorithms suitable for isolating and characterizing the type of pathology in the lungs in medical images is also given.


2021 ◽  
Vol 8 (3) ◽  
pp. 1-8
Author(s):  
Cuong Phan Viet ◽  
Thao Ho Thi ◽  
Anh Le Tuan ◽  
Ha Nguyen Hong ◽  
Thanh Ha Quang

Handling and improving the quality of medical images with the help of computer software is one of the important stages in the diagnosis and treatment. In this article, we focus on describing the new morphological algorithms by ITK (Insight Segmentation and Registration Toolkit). These morphological operators eliminate noise, detect good edges, and overcome the drawback of traditional edge detection methods.


2009 ◽  
Author(s):  
Xiaowei Fu ◽  
Mingyue Ding ◽  
Yangguang Sun ◽  
Shaobin Chen

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