DocumentCode :
294832
Title :
SVEX: a knowledge-based tool for image segmentation
Author :
Hernandez-Sosa, Daniel ; Cabrera-Gamez, J. ; Hernandez-Tejera, M.
Author_Institution :
Dept. de Inf. y Sistemas, Univ. de Las Palmas de Gran Canaria, Las Palmas
Volume :
4
fYear :
1995
fDate :
9-12 May 1995
Firstpage :
2555
Abstract :
SVEX is a multilevel knowledge-based tool for developing applications in image segmentation. Both numerical and symbolic computations take place at each level, being the transition between these two domains defined by the computational structure itself. SVEX incorporates evidence combination and uncertainty control mechanisms. SVEX is programmed by means of a specific purpose declarative language based on a reduced set of objects. All the knowledge involved in the solution of a given segmentation problem is made explicit due to the declarative nature of the programming language. The results obtained by the application of SVEX in the segmentation of a set of outdoor images set are also shown
Keywords :
case-based reasoning; image segmentation; knowledge based systems; logic programming; programming languages; software tools; symbol manipulation; uncertainty handling; SVEX; computational structure; evidence combination; image segmentation; multilevel knowledge-based tool; numerical computations; outdoor images; programming language; reduced objects set; specific purpose declarative language; symbolic computations; uncertainty control mechanisms; Actuators; Cameras; Computer languages; Decoding; Image processing; Image segmentation; Image sensors; Pixel; Process planning; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
ISSN :
1520-6149
Print_ISBN :
0-7803-2431-5
Type :
conf
DOI :
10.1109/ICASSP.1995.480070
Filename :
480070
Link To Document :
بازگشت