On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
The design and analysis of spatial data structures
The design and analysis of spatial data structures
The arc tree: an approximation scheme to represent arbitrary curved shapes
Computer Vision, Graphics, and Image Processing
An algorithm for detection of dominant points and polygonal approximation of digitized curves
Pattern Recognition Letters
Pattern Recognition Letters
Optimum polygonal approximation of digitized curves
Pattern Recognition Letters
Hierarchical representation of chain-encoded binary image contours
Computer Vision and Image Understanding
Another look at the dominant point detection of digital curves
Pattern Recognition Letters
Techniques for Assessing Polygonal Approximations of Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical representation of 2-D shapes using convex polygons: A morphological approach
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
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
Strip trees: a hierarchical representation for curves
Communications of the ACM
An efficient algorithm for the optimal polygonal approximation of digitized curves
Pattern Recognition Letters
The Performance of Curve Representation Schemes
IEEE Computer Graphics and Applications
Improving fitting quality of polygonal approximation by using the dynamic programming technique
Pattern Recognition Letters
Modified Arc tree based hierarchical representation of digital curve
Pattern Recognition Letters
Any dimension polygonal approximation based on equal errors principle
Pattern Recognition Letters
Fast guaranteed polygonal approximations of closed digital curves
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
A novel framework for making dominant point detection methods non-parametric
Image and Vision Computing
Hi-index | 0.10 |
Hierarchical data structures play a key role in representation of spatial data. This paper proposes an algorithm for constructing hierarchical representations of digitized curves based on the dominant points of the curve. The comparison of the proposed scheme with the other hierarchical representation schemes viz. Arc Tree and Strip Tree reveals that the proposed algorithm is generally better than the Arc Tree and compares well with the Strip Tree scheme.