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26

PRL
2006

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Image segmentation by histogram thresholding using hierarchical cluster analysis

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Image segmentation by histogram thresholding using hierarchical cluster analysis

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This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class variance of the clusters to be merged and the intra-class variance of the new merged cluster. Experiments on practical images illustrate the effectiveness of the new method.

Agus Zainal Arifin, Akira Asano

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Cluster Organization | Images | Inter-class Variance | PRL 2006 |

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Added	14 Dec 2010
Updated	14 Dec 2010
Type	Journal
Year	2006
Where	PRL
Authors	Agus Zainal Arifin, Akira Asano

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