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

fYear

2014

Firstpage

107

Lastpage

110

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International

Print_ISBN

978-1-4799-4420-0

Type

conf

DOI

10.1109/ITAIC.2014.7065015

Filename

7065015