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
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;
Conference_Titel :
TENCON 2014 - 2014 IEEE Region 10 Conference
Conference_Location :
Bangkok
Print_ISBN :
978-1-4799-4076-9
DOI :
10.1109/TENCON.2014.7022419