Title :
Application of multiple order morphology transformation on edge detection for liver CT image
Author :
Hailong Huang ; Jie Guo
Author_Institution :
Sch. of Mech. Eng. & Autom., Liaoning Univ. of Technol., Jinzhou, China
Abstract :
Edge detection of CT image can help doctors to diagnose and tracing observe more accurately, order morphology is an expansion of basic mathematical morphology, order morphology transformation is the principal conception of order morphology. The paper researches the application of edge detection for liver CT image using multiple order morphology transformation: analyzes the influence on edge detection of different structuring elements and different percentiles. Experimental results showed order morphology transformation has both the pertinence and the flexibility for edge detection of CT image.
Keywords :
computerised tomography; edge detection; liver; mathematical morphology; medical image processing; diagnosis; edge detection; liver CT image; mathematical morphology; multiple order morphology transformation; structuring elements; Biomedical imaging; Computed tomography; Image edge detection; Liver; Morphology; Noise; Shape; CT image; edge detection; order morphology transformation; percentile; structuring element;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International
Print_ISBN :
978-1-4799-4420-0
DOI :
10.1109/ITAIC.2014.7065015
