Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Automatic Segmentation of the Papilla in a Fundus Image Based on the C-V Model and a Shape Restraint
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Localisation of the optic disc by means of GA-optimised Topological Active Nets
Image and Vision Computing
Active contours driven by local Gaussian distribution fitting energy
Signal Processing
IEEE Transactions on Image Processing
Integrated active contours for texture segmentation
IEEE Transactions on Image Processing
Localizing Region-Based Active Contours
IEEE Transactions on Image Processing
Using blood vessels location information in optic disk segmentation
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
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We present a novel segmentation method to better capture the boundary of a non-homogeneous object such as the optic disk(OD), defined locally by two similar characteristic regions. Existing active contour models which utilise gradient information [12] or global region intensity [2] fail to localise aforementioned boundaries. We propose a region-based active contour model that uses local image information around each point of interest in multi-dimensional feature space. This model uses a local energy functional and level-set representation to achieve desired OD segmentation. The local energy functional defined on each image point provides sufficient information to determine a desired OD segmentation which is robust to the variations found in and around the OD region. This method has been evaluated against the segmentation provided by three medical experts on 138 retinal images. Both region and boundary-based assessment performed against two well established active contour models show strengths of the proposed method.