DocumentCode :
3158969
Title :
An efficient automatic hierarchical image segmentation algorithm based on Modal Analysis and Mutational Agglomeration
Author :
Banerjee, Sreya ; Haider, Abrar ; Banerjee, Ayan
Author_Institution :
Dept. of Inf. Technol., St. Thomas´´ Coll. of Eng. & Technol., Kolkata, India
fYear :
2010
fDate :
17-19 Sept. 2010
Firstpage :
216
Lastpage :
219
Abstract :
In this paper, we propose a novel robust unsupervised image content understanding approach that segments an image into its constituent parts automatically. The aim of this algorithm is to produce precise segmentation of images using intensity information along with neighbourhood relationships. Here, automatic hierarchical discovery of classes or clusters in images takes place rather than generating the class or cluster descriptions from training image sets. In addition, cluster ensemble has been utilized for introducing a robust technique for finding the number of components in an image automatically. The experimental results reveal that the proposed method is able to find the accurate number of objects or components in an image and eventually is capable of producing more accurate and faithful segmentation. This approach utilizes a threshold to capture the relationships among the neighbouring pixels and integrate that information into the Modal Analysis and Mutational Agglomeration (MAMA) model. This proposed algorithm is very simple in implementation, fast in encoding time. Experimental results show that the algorithm generates good quality segmented image. Finally, we have compared our results with another well-known segmentation approach.
Keywords :
image segmentation; modal analysis; automatic hierarchical image segmentation; modal analysis; mutational agglomeration; robust unsupervised image content understanding; Clustering; ModalAnalysis; Mutational Agglomeration; Thresholdin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Technology (ICCCT), 2010 International Conference on
Conference_Location :
Allahabad, Uttar Pradesh
Print_ISBN :
978-1-4244-9033-2
Type :
conf
DOI :
10.1109/ICCCT.2010.5640427
Filename :
5640427
Link To Document :
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