Method of multiscale segmentation of dynamic images and estimation of its parameters

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Infrared and Laser Engineering >Volume 32 >Issue 1 >Page 23 > Article

Infrared and Laser Engineering
Vol. 32, Issue 1, 23 (2003)

Method of multiscale segmentation of dynamic images and estimation of its parameters

[in Chinese]^1、*, [in Chinese]¹, [in Chinese]², and [in Chinese]¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Method of multiscale segmentation of dynamic images and estimation of its parameters[J]. Infrared and Laser Engineering, 2003, 32(1): 23 Copy Citation Text

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Abstract

A new method of multiscale segmentation of images is introduced into framework of multiresolution segmentation of dynamic images. The new method includes two main components which are multiscale random field and sequential maximum posterior estimator. This method can reduce the burden of computation and the contextual model can make the segmentation more accurate.

Keywords

Image pyramid Multiscale random field Sequential maximum posterior estimator

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Method of multiscale segmentation of dynamic images and estimation of its parameters[J]. Infrared and Laser Engineering, 2003, 32(1): 23

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