Title :
Background removal by modified fuzzy C-means clustering algorithm
Author :
A Pugazhenthi;G. Sreenivasulu;A Indhirani
Author_Institution :
Department of ECE, G Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India
fDate :
3/1/2015 12:00:00 AM
Abstract :
This paper proposes a modified Fuzzy C-means clustering algorithm which removes the different types background present in the image automatically. It removes the limitation associated with Fuzzy C-means clustering algorithm such as selection of initial number of clusters by selecting from the co-occurrence matrix. As the co-occurrence matrix represents the repetition of adjacent gray levels, the proposed algorithm selects centroids as the gray levels corresponding to the diagonal elements of the co-occurrence matrix. Some morphological operations were done to the resultant image. The proposed algorithm uniformly removes the background pixels. The performance of the proposed algorithm is measured quantitatively.
Keywords :
"Clustering algorithms","Classification algorithms","Partitioning algorithms","Image segmentation","Algorithm design and analysis","Hidden Markov models","Approximation algorithms"
Conference_Titel :
Engineering and Technology (ICETECH), 2015 IEEE International Conference on
DOI :
10.1109/ICETECH.2015.7274999