slugA Survey on Image Segmentation Using Clustering Techniques

Abstract

Image is information which has to be processed effectively. Segmentation, partitions the image into multiple segments. Image segmentation assigns label to every pixel in an image such that pixels with the same label share certain visual characteristic . Several segmentation algorithms are used for this purpose, but all are not suitable for all types of images. In this paper, Threshold method, Region based method, Edge Detection and Artificial Neural Networks (ANN) are discussed. Types of clustering are also studied. Fuzzy clustering is a class of cluster analysis and is powerfully growing approach. Clustering techniques are been widely used for effective automated segmentation.

Authors and Affiliations

Preeti, Assistant Professor Kompal Ahuja

Keywords

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  • EP ID EP18018
  • DOI -
  • Views 336
  • Downloads 13

How To Cite

Preeti, Assistant Professor Kompal Ahuja (2014). slugA Survey on Image Segmentation Using Clustering Techniques. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(5), -. https://www.europub.co.uk/articles/-A-18018