Title :
A novel position and shape adaptive initialization of region-based active contours in noisy images
Author :
Ohliger, Kevin ; Edeler, Torsten ; Hussmann, Stephan ; Mertins, Alfred
Author_Institution :
Inst. Ma.Vi.Tec, Westcoast Univ. Heide, Heide, Germany
Abstract :
In this paper we present a novel approach for initialization of region-based active contours. Our approach includes the adaptation of the initial contours (ICs) by varying the shape and location using higher order statistics on image data. The Hartigan´s dip test and the excess mass method are used as unimodality measures for position and radii adaptation of the ICs. We compare our methods with state of the art initializations of active contours in terms of overall accuracy and initialization accuracy measure which we introduce. The proposed position and shape adaptive initialization methods outperform the state of the art initialization methods for synthetic and real images including different levels of Gaussian noise.
Keywords :
Gaussian noise; higher order statistics; image denoising; image segmentation; Gaussian noise; Hartigan dip test; excess mass method; higher order statistics; image data; initial contour adaptation; initialization accuracy measures; noisy images; position adaptive initialization method; real images; region-based active contours; shape adaptive initialization method; synthetic images; unimodality measures; Accuracy; Active contours; Adaptation models; Image segmentation; Nickel; Noise; Shape; active contours; image segmentation; initialization; position adaptation; shape adaptation;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
DOI :
10.1109/ICSIPA.2011.6144108