publication . Other literature type . Article . 2017

Comparison And Evaluation Of Cluster Based Image Segmentation Techniques

Hetangi D. Mehta*, Daxa Vekariya, Pratixa Badelia;
Open Access
  • Published: 11 Dec 2017
  • Publisher: Zenodo
Abstract
Image segmentation is the classification of an image into different groups. Numerous algorithms using different approaches have been proposed for image segmentation. A major challenge in segmentation evaluation comes from the fundamental conflict between generality and objectivity. A review is done on different types of clustering methods used for image segmentation. Also a methodology is proposed to classify and quantify different clustering algorithms based on their consistency in different applications. 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...
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: Clustering, k-means, enhanced k-means and fuzzy c-mean algorithms, algorithm, Subtractive clustering, GAKM.
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Other literature type . 2017
Provider: Datacite
Zenodo
Other literature type . 2017
Provider: Datacite
ZENODO
Article . 2017
Provider: ZENODO
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publication . Other literature type . Article . 2017

Comparison And Evaluation Of Cluster Based Image Segmentation Techniques

Hetangi D. Mehta*, Daxa Vekariya, Pratixa Badelia;