Title :
Multiresolution chain coding of contours
Author :
Lerman, J.S. ; Kulkarni, S.R. ; Koplowitz, J.
Author_Institution :
Sarnoff Real Time Corp., Princeton, NJ, USA
Abstract :
A multiresolution chain coding scheme for contours is developed based on 4-connected chain codes at progressively more refined grid sizes. By taking advantage of a specific set of possible paths a contour can travel, the algorithm presented generates a multiresolution representation of a contour, with the final refinement representing the original contour with the same accuracy as conventional 4-connected chain coding. The technique described requires only a small overhead in comparison to 4-connected chain coding, so has the advantage of providing a hierarchical representation of a contour at little cost. The generation of a multi-scale representation allows the algorithm to perform well in the presence of storage or transmission limitations, as only a fraction of the data is required to obtain a detailed representation of the entire contour
Keywords :
image coding; image representation; image resolution; 4-connected chain codes; accuracy; contours; grid sizes; hierarchical representation; multi-scale representation; multiresolution chain coding; multiresolution representation; overhead; storage limitations; transmission limitations; Application software; Computer vision; Costs; Grid computing; Handwriting recognition; Image coding; Image processing; Image resolution; Signal processing; Signal resolution;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413644