Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62238
Title: Fuzzy pyramid-based invariant object recognition
Authors: Liu, X.
Tan, S. 
Srinivasan, V. 
Ong, S.H. 
Xie, W.
Keywords: Discriminant function
Fuzzy pyramid decision
Fuzzy region feature
Invariant object recognition
Membership grade
Issue Date: May-1994
Source: Liu, X.,Tan, S.,Srinivasan, V.,Ong, S.H.,Xie, W. (1994-05). Fuzzy pyramid-based invariant object recognition. Pattern Recognition 27 (5) : 741-756. ScholarBank@NUS Repository.
Abstract: A new fuzzy-decision-based invariant pattern recognition method for object recognition is presented. Blending the well-known image pyramid data structure with fuzzy mathematics, the new method sets out to show how fuzzy concepts, such as membership grade, are used in fuzzifying the features and building up a fuzzy feature pyramid. This is supported by a new segmentation technique using annular and sector windows inspired by the human visual system. A fuzzy pyramid technique is then naturally introduced to make the recognition decision. This new fuzzy decision approach is shown to have all the essential invariant properties and robustness against noise and uncertainty. The recognition system was applied to the problem of tool recognition and good results were obtained. A comparative study reveals many important advantages of our method over other techniques. © 1994.
Source Title: Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/62238
ISSN: 00313203
Appears in Collections:Staff Publications

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