Improved vertex chain code based mapping algorithm for curve length estimation
Problem statement: Image representation has always been an important and interesting topic in image processing and pattern recognition. However, curve tracing and its relative operations are the main bottleneck. Approach: This research presents the mapping algorithm that covers one of the vertex cha...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publications
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/29165/1/HabibollahHaron2011_ImprovedVertexChainCodeBasedMappingAlgorithm.pdf http://eprints.utm.my/id/eprint/29165/ http://dx.doi.org/10.3844/jcssp.2011.736.743 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | Problem statement: Image representation has always been an important and interesting topic in image processing and pattern recognition. However, curve tracing and its relative operations are the main bottleneck. Approach: This research presents the mapping algorithm that covers one of the vertex chain code cells, the rectangular-VCC cell. The mapping algorithm consists of a cell-representation algorithm that represents a thinned binary image in rectangular cells, a transcribing algorithm that transcribes the cells into vertex chain code and a validation algorithm that visualizes vertex chain code into rectangular cells. Results: The algorithms have been tested and validated by using three thinned binary images: L-block, hexagon and pentagon. Conclusion/Recommendations: The results show that this algorithm is capable of visualizing and transcribing them into vertex chain code. |
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