Syntactic pattern recognition and Hough transformation for reconstruction of seismic patterns

Geophysics ◽  
1987 ◽  
Vol 52 (12) ◽  
pp. 1612-1620 ◽  
Author(s):  
K. Y. Huang ◽  
K. S. Fu ◽  
S. W. Cheng ◽  
Z. S. Lin

Hierarchical syntactic pattern recognition and the Hough transformation are proposed for automatic recognition and reconstruction of seismic patterns in seismograms. In the first step, the patterns are hierarchically decomposed or recognized into single patterns, straight‐line patterns, or hyperbolic patterns, using syntactic pattern recognition. In the second step, the Hough transformation technique is used for reconstruction, pattern by pattern. The system of syntactic seismic pattern recognition includes envelope generation, a linking process in the seismogram, segmentation, primitive recognition, grammatical inference, and syntax analysis. The seismic patterns are automatically recognized and reconstructed.

Author(s):  
PEDRO GARCÍA ◽  
ENCARNA SEGARRA ◽  
ENRIQUE VIDAL ◽  
ISABEL GALIANO

Recently, a new methodology, referred to as “Morphic Generator Grammatical Inference” (MGGI), has been introduced as a step towards a general methodology for the inference of regular languages. In this paper we consider the application of this methodology to a real problem of automatic speech recognition, thus allowing (and also requiring) the proposed problem to be properly formulated within the canonical framework of syntactic pattern recognition. The results show both the viability and appropriateness of the application of MGGI to the problem considered.


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