SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Fast Active Contours for Sampling
CERMA '06 Proceedings of the Electronics, Robotics and Automotive Mechanics Conference - Volume 02
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In this paper we present a methodology to automatically analyze the soft tissue of the mouth. The methodology is based on some measures obtained from the lip contour. Process starts with the face localization, followed by the mouth area segmentation. A first approximation to the external lip contour is obtained by using active contours. The control points of the contours are used to calculate the four parametric functions that define the mouth template. Results show how the feature extraction algorithms and active contour adjustment perform. In addition, some tests were carried out on images of children with repaired cleft lip.