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  • 标题:Improved Vertex Chain Code Based Mapping Algorithm for Curve Length Estimation
  • 本地全文:下载
  • 作者:Haron, Habibollah ; Rehman, Amjad ; Wulandhari, L.A.
  • 期刊名称:Journal of Computer Science
  • 印刷版ISSN:1549-3636
  • 出版年度:2011
  • 卷号:7
  • 期号:5
  • 页码:736-743
  • DOI:10.3844/jcssp.2011.736.743
  • 出版社:Science Publications
  • 摘要: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.
  • 关键词:Vertex Chain Code (VCC); Rectangular Cells; transcribing algorithms; Thinned Binary Image; validation algorithm; Freeman Chain Code (FCC); mapping algorithm; L-block hexagon; Pentagon; clockwise direction
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