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>In this work i implemented the Mean Shift Image Segmentation method. >>>Mean shift clustering is a non-parametric kernel density estimation technique that clusters points based on repeated updation of the mean. >>>Used a kernel based on joint distance using the color and (x,y) locations. Evaluated different kernels for image segmentation. Also checked and evaluated the effect of the bandwidth of the kernels on the resulting image segmentation.

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Mean-Shift-Algorithm-for-Image-Segmentation

In this work i implemented the Mean Shift Image Segmentation method.

Mean shift clustering is a non-parametric kernel density estimation technique that clusters points based on repeated updation of the mean.
Used a kernel based on joint distance using the color and (x,y) locations. Evaluated different kernels for image segmentation. Also checked and evaluated the effect of the b#####Reference paper: Comaniciu, Dorin; Peter Meer (May 2002). "Mean Shift: A Robust Approach Toward Feature Space Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE) 24 (5): 603--619

<><><><Please find the attached report to get better insights of working and efficiency of the algorithm

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