Image segmentation by histogram thresholding using hierarchical cluster analysis

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.

• Type: Journal
• Year: 2006
• Where: PRL
• Authors: Agus Zainal Arifin, Akira Asano
• Keywords: Cluster Organization, Images, Inter-class Variance, PRL 2006