A thresholding method based on two-dimensional Renyi's entropy
Autor: | Gurdial Arora, Prasanna K. Sahoo |
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Rok vydání: | 2004 |
Předmět: |
Pixel
Balanced histogram thresholding business.industry Pattern recognition Thresholding Rényi entropy Artificial Intelligence Computer Science::Computer Vision and Pattern Recognition Histogram Signal Processing Entropy (information theory) Computer Vision and Pattern Recognition Artificial intelligence business Software Local average Mathematics |
Zdroj: | Pattern Recognition. 37:1149-1161 |
ISSN: | 0031-3203 |
DOI: | 10.1016/j.patcog.2003.10.008 |
Popis: | In this paper, we present a new thresholding technique based on two-dimensional Renyi's entropy. The two-dimensional Renyi's entropy was obtained from the two-dimensional histogram which was determined by using the gray value of the pixels and the local average gray value of the pixels. This new method extends a method due to Sahoo et al. (Pattern Recognition 30 (1997) 71) and includes a previously proposed global thresholding method due to Abutaleb (Pattern Recognition 47 (1989) 22). Further, our method extends a global thresholding method due to Chang et al. (IEEE Trans. Image Process. 4 (1995) 370) to the two-dimensional setting. The effectiveness of the proposed method is demonstrated by using examples from the real-world and synthetic images. |
Databáze: | OpenAIRE |
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