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

Wen-Hsiang Tsai *, K. S. Fu

*此作品的通信作者

研究成果: Paper同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁面560-564
頁數5
出版狀態Published - 1 1月 1979
事件Proc of the Int Jt Conf on Pattern Recognition, 4th - Kyoto, Jpn
持續時間: 7 11月 197810 11月 1978

Conference

ConferenceProc of the Int Jt Conf on Pattern Recognition, 4th
城市Kyoto, Jpn
期間7/11/7810/11/78

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