Digital Image Processing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Performance Comparison of Cluster Number of K-Means Clustering Algorithm Using Mammographic Image


Affiliations
1 School of Engineering, R. K. University, Rajkot, India
2 R. K. University, Rajkot. He is now Head of Department of Electronics and Communication, in R. K. University, Rajkot, Gujarat, India
3 Electronics and Communication Engineering Department, in R. K. University, Rajkot, Gujarat, India
     

   Subscribe/Renew Journal


Clustering is a process of grouping the data which are similar and dissimilar data among to other group. In this process apply different number of clusters on mammographic image. Clustering process is a part of image segmentation. In image segmentation process various types of method available but here K-Means clustering is use. In this paper, performance of different cluster number is based on simulation result. From this simulation result compare contrast, correlation, energy, and homogeneity. Also compare the time taken by different cluster.


Keywords

Mammographic Image, Cluster, K-Means Clustering Algorithm, Mat Lab.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 158

PDF Views: 3




  • Performance Comparison of Cluster Number of K-Means Clustering Algorithm Using Mammographic Image

Abstract Views: 158  |  PDF Views: 3

Authors

Ravi B. Tandel
School of Engineering, R. K. University, Rajkot, India
D. U. Shah
R. K. University, Rajkot. He is now Head of Department of Electronics and Communication, in R. K. University, Rajkot, Gujarat, India
N. P. Joshi
Electronics and Communication Engineering Department, in R. K. University, Rajkot, Gujarat, India

Abstract


Clustering is a process of grouping the data which are similar and dissimilar data among to other group. In this process apply different number of clusters on mammographic image. Clustering process is a part of image segmentation. In image segmentation process various types of method available but here K-Means clustering is use. In this paper, performance of different cluster number is based on simulation result. From this simulation result compare contrast, correlation, energy, and homogeneity. Also compare the time taken by different cluster.


Keywords


Mammographic Image, Cluster, K-Means Clustering Algorithm, Mat Lab.