Contour extraction of compressed JPEG images
Journal of Graphics Tools
Efficiency of chain codes to represent binary objects
Pattern Recognition
Pattern Recognition
Computer Recognition of Partial Views of Curved Objects
IEEE Transactions on Computers
An efficient chain code with Huffman coding
Pattern Recognition
Coding Long Contour Shapes of Binary Objects
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Proposing a new code by considering pieces of discrete straight lines in contour shapes
Journal of Visual Communication and Image Representation
A new relative chain code in 3D
Pattern Recognition
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A new set of symbols, M_3OT, based on orthogonal changes given by the 3OT chain code is presented. A sample of contour shapes to test the new code is used, and the most important chain codes and their compression levels are compared with our proposed new code. The compression used to compare the different chain codes is the Huffman algorithm applied to the resulted chain codes. The efficiency and compression level of this new chain code is compared against the most popular codes: F8, F4, VCC, C_VCC and DF8. We discuss the capabilities of the different codes. The results of several samples show that the new chain code, that we call M_3OT is the most efficient than the predecessors.