Removal of the Ambiguity of Images by Normalization and Entropy Minimization and Edge Detection by Understanding of Image Structures 


Vol. 6,  No. 9, pp. 2558-2562, Sep.  1999
10.3745/KIPSTE.1999.6.9.2558


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  Abstract

This paper propose on the methods of noise removal and edge extraction which is done by eliminating the ambiguities of the image using normalization and minimizing the entropy. Pre-existing methods have their own peculiarities and limitations, such as gray level distributions change very slowly or two regions which having similar gray level distribution are touched. This affects on the post processing such as feature extraction, as a result, this leads to false-recognition or no-recognition. Therefore, this paper proposes on the methods which overcome these problems. Finally, the effectiveness of this paper is demonstrated by several experiments.

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[IEEE Style]

C. D. Uk and B. S. Jae, "Removal of the Ambiguity of Images by Normalization and Entropy Minimization and Edge Detection by Understanding of Image Structures," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 9, pp. 2558-2562, 1999. DOI: 10.3745/KIPSTE.1999.6.9.2558.

[ACM Style]

Cho Dong Uk and Baek Seung Jae. 1999. Removal of the Ambiguity of Images by Normalization and Entropy Minimization and Edge Detection by Understanding of Image Structures. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 9, (1999), 2558-2562. DOI: 10.3745/KIPSTE.1999.6.9.2558.

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