Frequency Domain Analysis and Synthesis of Image Pyramid Generating Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new approach to polygonal approximation
Pattern Recognition Letters
Non-parametric dominant point detection
Pattern Recognition
Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of significant points and polygonal approximation of digitized curves
Pattern Recognition Letters
An algorithm for polygonal approximation of digitized curves
Pattern Recognition Letters
An algorithm for detection of dominant points and polygonal approximation of digitized curves
Pattern Recognition Letters
A non-parametric sequential method for polygonal approximation of digital curves
Pattern Recognition Letters
Optimum polygonal approximation of digitized curves
Pattern Recognition Letters
A new split-and-merge technique for polygonal approximation of chain coded curves
Pattern Recognition Letters
Segmentation of digital plane curves: a dynamic focusing approach
Pattern Recognition Letters
Another look at the dominant point detection of digital curves
Pattern Recognition Letters
An effective algorithm for the segmentation of digital plane curves - The isoparametric formulation
Pattern Recognition Letters
A new method for polygonal approximation using genetic algorithms
Pattern Recognition Letters
A boundary concavity code to support dominant point detection
Pattern Recognition Letters
On Critical Point Detection of Digital Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
A rotationally invariant two-phase scheme for corner detection
Pattern Recognition
Hierarchical representation of digitized curves through dominant point detection
Pattern Recognition Letters
Polygonal approximation of closed discrete curves
Pattern Recognition
Optimized polygonal approximation by dominant point deletion
Pattern Recognition
A PSO-Based Method for Min-ε Approximation of Closed Contour Curves
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Journal of Visual Communication and Image Representation
Polygonal approximation of digital planar curves through break point suppression
Pattern Recognition
Tabu split and merge for the simplification of polygonal curves
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
ISE-bounded polygonal approximation of digital curves
Pattern Recognition Letters
A moment-based polygonal approximation algorithm for regular digital curves
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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The dynamic programming technique is applied to improve the fitting quality of polygonal approximation. The dominant points of a digital curve are detected by applying a scale-based approach. Then, a polygonal approximation of the digital curve can be obtained by connecting its dominant points. The fitting quality of the polygonal approximation is improved by using a novel dynamic programming algorithm. The combination of the dominant point detection and the dynamic programming can produce a description that has high geometric importance and good fitting quality. Experimental results are provided and compared with several existing methods to show the excellence of the proposed method.