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• W2039857589 endingPage "743" @default.
• W2039857589 startingPage "736" @default.
• W2039857589 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." @default.
• W2039857589 created "2016-06-24" @default.
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• W2039857589 date "2011-05-01" @default.
• W2039857589 modified "2023-10-16" @default.
• W2039857589 title "Improved Vertex Chain Code Based Mapping Algorithm for Curve Length Estimation" @default.
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• W2039857589 doi "https://doi.org/10.3844/jcssp.2011.736.743" @default.
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