• Pankaj Malik
• Dr.Jitendra Shitlani

Image segmentation indeed a method of collecting data from a Image using numerous available algorithms and methodologies. Object segmentation is a significant & difficult role in the field of picture review & various Machine View, Image detection, scene perception & methods of object recognition. In this research paper, we will establish a color-based segmentation approach using median filter k-means that will help to segment and evaluate fruit shapes with an enhanced segmented image. The suggested approach relies on hybridizing fuzzy c-means as well as a median filter into algorithm k-means. Fruit dependent on segmentation conducted on fruit pictures. Therefore, the approach suggested may have implementations in various areas such as predictive sorting, overlapping fruit identification and extraction of an information ripeness of fruit

Image processing, Image Segmentation, Otsu’s method Clustering, Fuzzy c means, k-means, Median filter

"An Ensemble of K-Means with Median Filter for Segmented Image ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.235-239, April-2019, Available :http://www.jetir.org/papers/JETIR2002440.pdf

"An Ensemble of K-Means with Median Filter for Segmented Image ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp235-239, April-2019, Available at : http://www.jetir.org/papers/JETIR2002440.pdf