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EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:       

          The spatial context was embodied basically in the modification of the objective function.

          Information from the original image, FCM has robust characteristics for ambiguity. However, the standard FCM algorithm is very sensitive to noise since it considers no information about spatial context.

PROPOSED CONCEPT:

          We propose an SAR image change detection approach based on the FCM algorithm by adding the MRF with a novel form of energy function.

          It modifies the membership of each pixel by introducing the information provided by the spatial context, i.e., the neighbors of the central pixel, as well as their interrelationship, are concerned in the process of using the MRF.

EXISTING  ALGORITHM:

          Fast Generalized FCM algorithm

PROPOSED ALGORITHM:

          MRF with FCM algorithm  

ALGORITHM DEFINITION:           

          FGFCM for image segmentation which incorporates the spatial information, the intensity of the local pixel neighborhood, and the number of gray levels in an image.

ALGORITHM DEFINITION:

          The MRF provides a basis to model information about the mutual influences among image pixels. A paramount important issue of the MRF is the energy function that directly characterizes the way to utilize spatial context.

DRAWBACKS:

          SAR images are so special that they are usually corrupted by speckle noise.

          To enhance the traditional FCM algorithm without engendering much time complexity.

ADVANTAGES:

          It focuses on the modification of the membership to reduce the effect of speckle noise.

          It is of computational simplicity, less time consuming than others.