Boundary encoding can be a key part of a content-based image retrieval (CBIR) system. An efficient algorithm is presented for approximation of image region boundaries by piecewise second-order B-spline curves. The algorithm first applies an adaptive low-pass filter to smooth the boundary while maintaining a specified tolerance of positional error. Next, critical points are identified and utilized to partition the boundary into segments. The algorithm then approximates each segment with a second-order B-spline that meets the error tolerance. This algorithm is much more efficient than previous methods. Experimental results are presented using various boundaries extracted from images.
Efficient region boundary approximation using adaptive smoothing and second-order B-splines
01.01.2002
304397 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Efficient Region Boundary Approximation Using Adaptive Smoothing and Second-Order B-Splines
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