TY - GEN
T1 - Robustness of two methods for segmenting salient features in screening mammograms
AU - Fei, Ma
AU - Bajger, Mariusz
AU - Bottema, Murk J.
PY - 2007
Y1 - 2007
N2 - The performance of two image segmentation methods are compared according to robustness of the segmentation to image distortion. This criterion is crucial for temporal analysis of screening mammograms where natural changes in the breast plus inherent deformation of soft tissue during image acquisition result in severe image registration problems. A method based on minimum spanning trees (MST) is found to be more robust to the distortions studied than a method based on adaptive pyramids (AP). Although segmentation leads to great differences in segmentation in distorted images for many components of low saliency, salient components (those of primary interest) are found to be segmented consistently regardless of distortion.
AB - The performance of two image segmentation methods are compared according to robustness of the segmentation to image distortion. This criterion is crucial for temporal analysis of screening mammograms where natural changes in the breast plus inherent deformation of soft tissue during image acquisition result in severe image registration problems. A method based on minimum spanning trees (MST) is found to be more robust to the distortions studied than a method based on adaptive pyramids (AP). Although segmentation leads to great differences in segmentation in distorted images for many components of low saliency, salient components (those of primary interest) are found to be segmented consistently regardless of distortion.
UR - http://www.scopus.com/inward/record.url?scp=44949232446&partnerID=8YFLogxK
U2 - 10.1109/DICTA.2007.4426784
DO - 10.1109/DICTA.2007.4426784
M3 - Conference Proceeding
AN - SCOPUS:44949232446
SN - 0769530672
SN - 9780769530673
T3 - Proceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007
SP - 112
EP - 117
BT - Proceedings - Digital Image Computing Techniques and Applications
T2 - Australian Pattern Recognition Society (APRS)
Y2 - 3 December 2007 through 5 December 2007
ER -