An Improved Approach towards Image Segmentation Using Mean Shift and FELICM
نویسندگان
چکیده
Image Segmentation is dividing the image into the segments. There are various algorithms available for segmentation but clustering approach is considered to be best. The study shows that there are various gaps which are not covered by the researchers so an improved approach towards image segmentation using mean shift and FELICM has been proposed. HSV color space is considered to be better approach than RGB. In the proposed method input image in RGB form is converted into HSV further mean shift and FELICM is applied separately on Hue, Saturation and Value Components. So the final images obtained from mean shift and FELICM is fused together. The method shown in this paper has shown better results on various parameters and different segment results can be analyzed correctly. Keywords— Image segmentation, Clustering, FELICM, Mean Shift , HSV
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