Title :
Morphological contour coding using structuring functions optimized by genetic algorithms
Author :
Brigger, P. ; Kunt, M.
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
Shape representation is an important image analysis task which can be used for contour coding and feature extraction. The morphological skeleton is a geometrical shape description by means of maximal inscribed structuring elements. The form of the structuring element is usually chosen a priori, and we show how genetic algorithms can be used for an automatic optimization of an arbitrary shaped structuring element. It permits improved progressive contour transmission and the extraction of shape features
Keywords :
feature extraction; genetic algorithms; image coding; image representation; mathematical morphology; automatic optimization; feature extraction; genetic algorithms; geometrical shape description; image analysis; maximal inscribed structuring elements; morphological contour coding; morphological skeleton; progressive contour transmission; shape representation; structuring functions; Entropy coding; Feature extraction; Genetic algorithms; Image analysis; Image coding; Laboratories; Shape; Signal processing algorithms; Skeleton; Telecommunication services;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.531421
