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i need a code for adaptive clustering.steps is here.anybody please help me?
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1. Define seed point Co by calculating the average intensity of that image. 2. Define a pixels cluster which the intensities are less than Co. 3. Calculate the average intensity C1 of that cluster. 4. Iterate the process by returning to step 2 for defining additional pixels cluster and then calculating C2. 5. We repeat above processes until(Ci-1-Ci)<T. where T is a calibrated parameter. Co,C1,...Ck represent the cluster centers. The final step is to group image pixels in such a way that pixel is assigned to the nearest cluster center measuring by Euclidian distance of intensity.
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