Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
A note on minimal length polygonal approximation to a digitized contour
Communications of the ACM
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Digital Picture Processing
Length Estimation in 3-D Using Cube Quantization
Journal of Mathematical Imaging and Vision
Efficiency of Characterizing Ellipses and Ellipsoids by Discrete Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Versus Nonlocal Computation of Length of Digitized Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digitized Circular Arcs: Characterization and Parameter Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete Deformable Boundaries for the Segmentation of Multidimensional Images
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Segmentation and Length Estimation of 3D Discrete Curves
Digital and Image Geometry, Advanced Lectures [based on a winter school held at Dagstuhl Castle, Germany in December 2000]
Digital Geometry for Image-Based Metrology
DGCI '02 Proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery
Segmentation and length estimation of 3D discrete curves
Digital and image geometry
Formulation of an accurate discrete theory of median shifts
Signal Processing
A Comparative Evaluation of Length Estimators of Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Quantification of Bone Remodeling in SRμCT Images of Implants
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Surface area estimation of digitized 3D objects using weighted local configurations
Image and Vision Computing
Quantification of bone remodeling in the proximity of implants
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Surface area estimation of digitized 3D objects using quasi-Monte Carlo methods
Pattern Recognition
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Measurement of perimeters of planar shapes from their digitized images is an important task of computer vision systems. A general methodology for the design of simple and accurate parameter estimation algorithms is described. It is based on minimizing the maximum estimation error for digitized straight edges over all orientations. Two perimeter estimators are derived and their performance is tested and digitized circles using computer simulations. The experimental results may be used to predict the performance of the algorithm on shapes with arbitrary contours of continuous curvature. The simulations also show that fast and accurate perimeter estimation is possible, even for objects that are small relative to pixel size.