论文信息 - Image segmentation using hierarchical analysis of 2D-histograms - Application to medical images

Image segmentation using hierarchical analysis of 2D-histograms - Application to medical images

In this study, segmentation of monochrome image into two classes (object and background) is performed by unsupervised classification method based on the hierarchical analysis of 2D-histograms. We perform the segmentation algorithm by reclassification of the pixels not classified in the determined classes according to Euclidean distance. The proposed approach has been tested on synthetic and real images and the results are satisfactory.

Lh. Masmoudi | R. Zennouhi | M. El Ansari

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