Representation of Uncertain Area in Image Based on Cloud-model

LI Yong-shu · Journal of Chongqing University. English Edition · 2007

Aiming at the problem of representation of regions in the process of image processing,the paper presents a method applied to representation of spatial uncertain area in image based on Cloud-model.In two-dimension universe of discourse of image,the linguistic term of the polygons,which have uncertain edge,can be accomplished by relaxation iteration.The linguistic term of the polygons can be considered Cloud-core of Cloud-model.Based on the characteristics of pixels of transition region of fuzzy edge,Object-clouds of polygons can be constructed by Backward-cloud-generator.So Object-cloud can be representation model of spatial uncertain area and spatial uncertain area in image can be represented by digital characteristics of Object-cloud.Experiments testify the method.It enriches the cloud theory,and proposes a new idea for image comprehending and analyzing,especially remote sensing image.

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