Computational geometry: an introduction
Computational geometry: an introduction
The ultimate planar convex hull algorithm
SIAM Journal on Computing
On some distance problems in fixed orientations
SIAM Journal on Computing
Computing deviations from convexity in polygons
Pattern Recognition Letters
How good are convex hull algorithms?
Proceedings of the eleventh annual symposium on Computational geometry
A method for the enumeration of various classes of column-convex polygons
Discrete Mathematics
Fundamentals of restricted-orientation convexity
Information Sciences: an International Journal
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Introduction to algorithms
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Digital Picture Processing
Digital Geometry: Geometric Methods for Digital Picture Analysis
Digital Geometry: Geometric Methods for Digital Picture Analysis
A New Convexity Measure for Polygons
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extremal problems for convex polygons
Journal of Global Optimization
Information Sciences: an International Journal
On the number of hv-convex discrete sets
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Finding the orthogonal hull of a digital object: a combinatorial approach
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
TIPS: on finding a tight isothetic polygonal shape covering a 2d object
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Restoration of error-diffused images using projection onto convex sets
IEEE Transactions on Image Processing
JPEG2000-coded image error concealment exploiting convex sets projections
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Merging faces: a new orthogonal simplification of solid models
DGCI'13 Proceedings of the 17th IAPR international conference on Discrete Geometry for Computer Imagery
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A combinatorial algorithm to compute the orthogonal hull of a digital object imposed on a background grid is presented in this paper. The resolution and complexity of the orthogonal hull can be controlled by varying the grid size, which may be used for a multiresolution analysis of a given object. Existing algorithms on finding the convex hull are based on divide and conquer strategy, sweepline approach, etc., whereas the proposed algorithm is combinatorial in nature whose time complexity is linear on the object perimeter instead of the object area. For a larger grid size, the perimeter of an object decreases in length in terms of grid units, and hence the runtime of the algorithm reduces significantly. The algorithm uses only comparison and addition in the integer domain, thereby making it amenable to usage in real-world applications where speed is a prime factor. Experimental results including the CPU time demonstrate the elegance and efficacy of the proposed algorithm.