DocumentCode
243187
Title
Texture segmentation using active contour model incorporated with edge flow on MRI image
Author
Boonnuk, Tanunchai ; Sripramong, Thanwa ; Srisuk, Sanun
Author_Institution
Fac. of Eng., Mahanakorn Univ. of Technol., Bangkok, Thailand
fYear
2014
fDate
22-25 Oct. 2014
Firstpage
1
Lastpage
5
Abstract
This paper are presented novel method of texture segmentation using active contour model incorporated with edge flow. The edge flow magnitude was used as a main force (external force) of active contour model. The texture segmentation from both active contour model with edge flow and traditional active contour model were compared. The results reveal that the active contour models with edge flow shown better quality of texture segmentation. In contrast with traditional method, it was not able to identify edge and texture of image. We also found that it works well in the MRI image segmentation and Ultrasound image segmentation.
Keywords
biomedical MRI; edge detection; image segmentation; image texture; medical image processing; MRI image texture segmentation; active contour model; edge flow; ultrasound image texture segmentation; Active contours; Equations; Force; Image edge detection; Image segmentation; Mathematical model; Vectors; active contour model; edge flow; texture segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2014 - 2014 IEEE Region 10 Conference
Conference_Location
Bangkok
ISSN
2159-3442
Print_ISBN
978-1-4799-4076-9
Type
conf
DOI
10.1109/TENCON.2014.7022419
Filename
7022419
Link To Document