Abstract
An active contour model is proposed for contour extraction of objects in complex natural scenes. Our model is formulated in an analytical framework that consists of a colour contrast metric, an illumination parameter and a blurring scale estimated using hermite polynomials. A distinct advantage of this framework is that it allows for automatic selection of thresholds under conditions of uneven illumination and image blur. The active contour is also initialised by a single point of maximum colour contrast between the object and background. The model has been applied to synthetic images and natural scenes and shown to perform well.
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© 1996 Springer-Verlag Berlin Heidelberg
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Kian Peng, N., Jiancheng, J. (1996). A robust active contour model for natural scene contour extraction with automatic thresholding. In: Buxton, B., Cipolla, R. (eds) Computer Vision — ECCV '96. ECCV 1996. Lecture Notes in Computer Science, vol 1065. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61123-1_151
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DOI: https://doi.org/10.1007/3-540-61123-1_151
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