DocumentCode :
381873
Title :
Scalable coding of shape contours in scale
Author :
Pinheiro, Antbnio M G ; Ghanbari, Mohammed
Author_Institution :
Univ. da Beira Interior, Covilha, Portugal
Volume :
1
fYear :
2002
fDate :
2002
Abstract :
A method of improving the traditional polygonal approximation methods is described. It has properties such as scalability, resilience to noise, controlled levels of approximation and good visual representation. These properties are a direct result of the use of scale space information to derive the vertices positions of the polygonal approximation. The vertices are situated on the contour points where the changes of the contour directions are at their major sharp positions. An encoding method with a scalable polygonal approximation of shapes is defined, which results in a good relation between the distortion and the bit rate.
Keywords :
edge detection; image coding; image representation; polynomial approximation; rate distortion theory; bit rate; contour geometric features; contour points; distortion; encoding method; lossy encoding; noise resilience; polygonal approximation methods; scalable coding; scale space detection; scale space information; shape coding; shape contours; vertices position; visual representation; Bit rate; Encoding; ISO standards; Image coding; MPEG 4 Standard; Noise level; Noise shaping; Resilience; Shape; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7622-6
Type :
conf
DOI :
10.1109/ICIP.2002.1037985
Filename :
1037985
Link To Document :
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