A syntactic method for image segmentation and object recognition

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摘要

In this paper, image segmentation and object recognition using syntactic methods are investigated. The segmentation process is embedded in the parsing algorithm. The approach can be described by a syntax-directed relaxation process. Previous error-correcting parsing algorithms, however, have not tackled the segmentation problem satisfactorily. Experimental results using Synthetic Aperture Radar (SAR) images are given.

论文关键词:Syntactic pattern recognition,Error-correcting parsing,Levenshtein distance,Probabilistic relaxation,Synthetic aperture radar

论文评审过程:Received 18 January 1984, Revised 13 April 1984, Accepted 2 May 1984, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(85)90008-1