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Impact of Image Contrast on the Number of Clusters with k-means Algorithm

Lamia AbedNoor Muhammed
Image segmentation is a based step in analysis of image. More techniques are used for segmentation such as clustering. The clustering divide the image into groups of pixels according to its intensity. There are different methods for clustering. K means is one of the clustering methods. This method requires some parameters such as no. of clusters, however this not easy to predetermined. This paper focus on the existence of relationship between the image contrast and the number of clusters. The practical work were applied on medical images according to popularity.
Select Volume / Issues:
Year:
2016
Type of Publication:
Article
Keywords:
Medical Image; Segmentation; k means; Clustering; Image Contrast
Journal:
IJECCE
Volume:
7
Number:
2
Pages:
122-125
Month:
March
ISSN:
2249-071X
Hits: 1068

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