n-Tuple Band Transform and Its Appliation for Image Recognition 


Vol. 35,  No. 4, pp. 69-78, Apr.  2010


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  Abstract

In this paper, we suggest n-Tuple Band Transform (n-TBT) which is consisted of user defined sets of band, index, operators, and their relational functions for extracting descriptors and then recognize images. Advantages of suggested n-TBT are as follows; it can extract many different descriptors from an image by combining user defined sets and functions, and process parallel since it has independent operators. Futhermore, it supports a useful tool that can make new features from an image by simply changing its basic components and can represent many well-known transforms(e.g, Trace transform, Radon transform, Hough transform, polor coordinated transform, etc.). We describe, additionally in this paper, how to design components of n-TBT for showing an example of application of looking up similar regions in a high-resolution image with a query region based on a descriptor in the track-sector space.

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  Cite this article

[IEEE Style]

H. Jeon, S. Yang, J. Bang, K. Bae, C. J. Hwang, "n-Tuple Band Transform and Its Appliation for Image Recognition," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 4, pp. 69-78, 2010. DOI: .

[ACM Style]

Hyeokjune Jeon, SeungBeom Yang, Joonwon Bang, Kyung-Hoon Bae, and Chi Jung Hwang. 2010. n-Tuple Band Transform and Its Appliation for Image Recognition. The Journal of Korean Institute of Communications and Information Sciences, 35, 4, (2010), 69-78. DOI: .

[KICS Style]

Hyeokjune Jeon, SeungBeom Yang, Joonwon Bang, Kyung-Hoon Bae, Chi Jung Hwang, "n-Tuple Band Transform and Its Appliation for Image Recognition," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 4, pp. 69-78, 4. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880