Title :
Classification board for real time image segmentation
Author :
Miteran, Johel ; Bailly, Remy ; Gorria, Patrick
Author_Institution :
Lab. LE21, Burgundy Univ., Le Creusot, France
Abstract :
We present the realization of a classification board, for real-time image segmentation. The classification of each pixel is completed using a real time extraction of attributes and a geometric classification method by stress polytope training, which ensures a high decision speed (100 ns per pixels) and good performance. The decision operator has been integrated in the form of a full custom circuit, and the extraction of parameters is performed using a single high density FPGA
Keywords :
application specific integrated circuits; digital signal processing chips; feature extraction; field programmable gate arrays; image classification; image segmentation; real-time systems; A/D converter; ASIC; CCD camera; attributes; classification board; decision operator; full custom circuit; geometric classification method; high decision speed; high density FPGA; parameter extraction; pixel classification; real time extraction; real time image segmentation; stress polytope training; Application specific integrated circuits; Field programmable gate arrays; Image segmentation; Inspection; Integrated circuit manufacture; Laboratories; Manufacturing automation; Merging; Productivity; Stress;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604840
