We propose a new method of estimating object contours from thresholded binary edge images. Our work is motivated by the edge-based video object plane (VOP) generation proposed by Meier, targeted at MPEG-4 object-based video coding. When objects are detected in the form of binary edge images, we have to estimate the complete object contour from edges that do not form a closed contour. The proposed method is designed to carry out this task using only binary edge images. To achieve this, we first introduce a probability field representing the probability that the object contour lies on each pixel, and then take a modified geodesic active contour approach to make the initial contour converge with the contour of the object according to the probability field.
Estimating object contours from binary edge images
IEEE International Conference on Image Processing 2005 ; 3 ; III-453
2005-01-01
376501 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Estimating Object Contours from Binary Edge Images
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