Детайли за публикацията
(Publication details)

Autors: PETROV,G., ILIEV,P., TZVETKOV, P. M.
Title: Comparison of Global Histogram Methods for 2D and 3D Entropy Based Image Segmentation
Keywords: 2D, 3D global entropy image segmentation

Abstract: In this paper we explain two functional models for entropy based image segmentation: using global 2D and 3D image histograms of grayscale images.We compare results obtained by both methods for different type of images.Short introduction of multistage gradient 3D entropy segmentation for texture analysis is also introduced.2D and 3D entropy segmented images can be combined to achieve better results in applications such as digital video databases and multimedia information retrieval frameworks,micro object classification for material analysis and biomedical applications.

References

    Issue
    9th WSEAS International Conference on EVOLUTIONARY COMPUTING(EC’08), pp. 57-62, 2008, Bulgaria,

    Вид: публикация в национален форум

    Въведена от: ас. Ана Георгиева Пискова