@article {10.3844/jcssp.2011.736.743,
article_type = {journal},
title = {Improved Vertex Chain Code Based Mapping Algorithm for Curve Length Estimation},
author = {Haron, Habibollah and Rehman, Amjad and Wulandhari, L.A. and Saba, Tanzila},
volume = {7},
number = {5},
year = {2011},
month = {May},
pages = {736-743},
doi = {10.3844/jcssp.2011.736.743},
url = {https://thescipub.com/abstract/jcssp.2011.736.743},
abstract = {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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}