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An Analysis of K Means Clustering Algorithm for Image Segmentation with IQI

Author(s):

M. Ramaraj , NGM COLLEGE POLLACHI; Dr. S. Niraimathhi, NGM COLLEGE POLLACHI

Keywords:

Data Mining, Clustering Techniques, Image Segmentation, Image Dataset

Abstract

Image mining is used to discover the knowledge from the image dataset. Similar to data mining tasks, image mining task can also be categorized into classification, clustering, association rule mining, and characterization based summarization. Many researches have been done in the area of image segmentation using clustering. There are different methods and one of the most popular methods is k-means clustering algorithm. K-means clustering algorithm is an unsupervised algorithm and it is used to segment the interest area from the background. In this paper we discuss above the analysis of k means clustering algorithm for image segmentation process using different clustering methods have been applying for images to the image dataset.

Other Details

Paper ID: IJSRDV4I90116
Published in: Volume : 4, Issue : 9
Publication Date: 01/12/2016
Page(s): 137-140

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