Title :
Image segmentation using hierarchical analysis of 2D-histograms - Application to medical images
Author :
Zennouhi, R. ; Masmoudi, Lh ; Ansari, M. El
Author_Institution :
Phys. Dept., Mohamed V Univ., Rabat, Morocco
Abstract :
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.
Keywords :
image classification; image segmentation; medical signal processing; statistical analysis; Euclidean distance; hierarchical 2D-histogram analysis; medical image segmentation; monochrome image segmentation algorithm; unsupervised classification method; Algorithm design and analysis; Biomedical imaging; Euclidean distance; Histograms; Image analysis; Image segmentation; Laboratories; Performance analysis; Physics; Pixel; 2D histogram; Euclidean distance; Images; hierarchical analysis; segmentation;
Conference_Titel :
Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on
Conference_Location :
Ouarzazate
Print_ISBN :
978-1-4244-3756-6
Electronic_ISBN :
978-1-4244-3757-3
DOI :
10.1109/MMCS.2009.5256647
