Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7215
Title: Classification of periodic patterns using hough transform
Authors: Kasparis, Takis 
Campos, Jesse
Keywords: Algorithms
Classification
Image processing
Algebras, Linear
Issue Date: 1994
Publisher: IEEE
Source: Proceedings of the IEEE SOUTHEASTCON, 1994, Miami, United States
Abstract: Texture is an important characteristic in an image and it is used to identify objects or regions of interest within an image. The problem of texture classification has been widely studied and most of the proposed techniques fall into two categories; statistical or structural. In this paper a structural approach based on the Hough method for line detection is proposed, for the description of periodic textures that consist of mostly straight lines. The features used for classification procedure are based on the relative orientations and separations of lines. With the proper normalizations, classification is independent of geometrical transformations such as rotation, translation, and/or scaling. This approach provides more unique features compared to other approaches. Experimental results with test patterns are presented.
URI: http://ktisis.cut.ac.cy/handle/10488/7215
ISSN: 07347502
DOI: 10.1109/SECON.1994.324337
Rights: © 1994 IEEE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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