Title :
Segmentation of uterine fibroid using morphology: An automatic approach
Author :
Jeyalakshmi, T. Ratha ; Ramar, K.
Author_Institution :
Mother Teresa Univ., Kodaikanal, India
Abstract :
Image segmentation is an important task in medical image analysis. Automatic segmentation of ultrasound image is a difficult task as it suffers from speckle noise. This paper presents a fully automatic approach in which there is no need for the user to provide a seed point to segment the image. It proposes a new method for segmenting the fibroid in uterus. The method used in this paper uses concepts in mathematical morphology. It completely avoids over segmentation which is a major problem in morphological segmentation. The performance of this method is also commendable.
Keywords :
cancer; image segmentation; mathematical morphology; medical image processing; tumours; automatic approach; image segmentation; mathematical morphology; medical image analysis; ultrasound image; uterine fibroid; Biomedical imaging; Breast neoplasms; Filters; Head; Image analysis; Image segmentation; Lesions; Morphology; Speckle; Ultrasonic imaging; area open; morphology; regional minima; segmentation; ultrasound;
Conference_Titel :
Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-4710-7
DOI :
10.1109/IAMA.2009.5228023