Two-dimensional object recognition using a two-dimensional polar transform
Pattern Recognition
Practical algorithms for image analysis: description, examples, and code
Practical algorithms for image analysis: description, examples, and code
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
Representation of contours and regions for efficient computer search
Communications of the ACM
Computer Recognition of Partial Views of Curved Objects
IEEE Transactions on Computers
Property Encoding: Application in Binary Picture Encoding and Boundary Following
IEEE Transactions on Computers
An efficient chain code with Huffman coding
Pattern Recognition
An algorithm for compression of bilevel images
IEEE Transactions on Image Processing
JBEAM: multiscale curve coding via beamlets
IEEE Transactions on Image Processing
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
A proposal modification of the 3OT chain code
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
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
Machine Vision and Applications
A generalization of quad-trees applied to image coding
Integrated Computer-Aided Engineering
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We present a study of compression efficiency for binary objects or bi-level images for different chain-code schemes. Chain-code techniques are used for compression of bi-level images because they preserve information and allow a considerable data reduction. Furthermore, chain codes are the standard input format for numerous shape-analysis algorithms. In this work we apply chain codes to represent object with holes and we compare their compression efficiency for seven chain codes. We have also compared all these chain codes with the JBIG standard for bi-level images.