TY  - JOUR
AU  - Haron, Habibollah 
AU  - Rehman, Amjad 
AU  - Wulandhari, L.A. 
AU  - Saba, Tanzila 
PY  - 2011
TI  - Improved Vertex Chain Code Based Mapping Algorithm for Curve Length Estimation
JF  - Journal of Computer Science
VL  - 7
IS  - 5
DO  - 10.3844/jcssp.2011.736.743
UR  - https://thescipub.com/abstract/jcssp.2011.736.743
AB  - 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.