Corner detection and curve representation using cubic B-spline
Computer Vision, Graphics, and Image Processing
Control point transform for shape representation and measurement
Computer Vision, Graphics, and Image Processing
The Computation of Visible-Surface Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal spline fitting to planar shape
Signal Processing
Partial Smoothing Splines for Noisy +Boundaries with Corners
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inverse quantization for resolution conversion
Proceedings of the 11th international conference on Theoretical foundations of computer vision
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In this paper, we propose an inverse quantization method for planar binary images. The expansion and superresolution of digital binary images involve the same mathematical properties because, for the achievement of these processes, we are required to estimate the original boundary from digitized images which are expressed as a collection of pixels. We first estimate an area through which the original boundary curve should pass through. This area is an orthogonal polygon torus whose two boundary curves are orthogonal polygons. Second, applying curvature flow operation to an orthogonal polygon in this area, we estimate a smooth boundary.