Title :
Segmentation of pectoral muscle and detection of masses in mammographic images
Author :
Kavitha, M. ; Rejusha, M.
Author_Institution :
Dept. of ECE, K.S. Rangasamy Coll. of Technol., Tiruchengode, India
Abstract :
A segmentation method is proposed where the pectoral muscle in mammograms is segmented and then the mass is detected. First two anatomical features of the pectoral muscle, homogeneous texture and high intensity deviation are employed to identify the initial pectoral muscle edge. The maximum searching algorithm is used to obtain the initial edge. However the obtained initial edge in many cases is not refined. Then the Kalman filter is used to refine the ragged initial edge. Once the refined edge is obtained the mass is detected using gamma distribution and then the contour is detected using region based active contour model to obtain the segmented result.
Keywords :
Kalman filters; biomedical MRI; edge detection; gamma distribution; image segmentation; mammography; medical image processing; search problems; Kalman filter; MRI; contour detection; gamma distribution; magnetic resonance imaging; mammographic image; mass detection; maximum searching algorithm; pectoral muscle; region based active contour model; segmentation method; Breast; Image edge detection; Image segmentation; Lesions; Mammography; Muscles; Pectoral muscle; active contour model; intensity; texture;
Conference_Titel :
Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-7224-1
DOI :
10.1109/ECS.2015.7124774
