IMAGE SEGMENTATION AND RECOGNITION BY TEXTURE DISCRIMINATION: A SYNTACTIC APPROACH.

Wen-Hsiang Tsai *, K. S. Fu

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Problems arising from real world texture discrimination using syntactic approaches, such as texture orientation, selection of window sizes, and texture gray levels, thresholding, and primitive selection, etc. , are studied, and techniques and algorithms, such as direction detectors, rotational grammars, optimum window size inferrence algorithms, least-square-error structure-preserved error-correcting tree automata, and a random field approach to primitive selection, are proposed to solve these problems. These techniques are then applied to the segmentation and recognition of agricultural area pictures which are abundant with textures, and suggestions for further research are made in the concluding remarks.

Original languageEnglish
Pages560-564
Number of pages5
StatePublished - 1 Jan 1979
EventProc of the Int Jt Conf on Pattern Recognition, 4th - Kyoto, Jpn
Duration: 7 Nov 197810 Nov 1978

Conference

ConferenceProc of the Int Jt Conf on Pattern Recognition, 4th
CityKyoto, Jpn
Period7/11/7810/11/78

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