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IJSTR >> Volume 2- Issue 7, July 2013 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Novel Content Based Image Retrieval Implemented By NSA Of AIS

[Full Text]

 

AUTHOR(S)

Monika Daga, Kamlesh Lakhwani

 

KEYWORDS

Index terms: Artificial Immune System (AIS), Content Based Image Retrieval (CBIR), Edge Detection, Euclidean Shape Space, Hamming Shape Space, Negative Selection (NS), Pattern Recognition, RGB Color Histogram.

 

ABSTRACT

Abstract: Content Based Image Retrieval system was developed long back, a technique using visual content according to the interests of the users', to search images from large scale image databases. Since then various methods and techniques are being applied for generating better results. Growing interest and inspiration from biological immune system i.e. the concept of Artificial Immune System (AIS) immersed, on the other hand, is a new computational paradigm for pattern Recognition. In this paper, a new CBIR system is being implemented using the Negative Selection Algorithm (NSA) of AIS. MATrix LABoratory functionalities is being used to develop a novel CBIR system. It has reduced complexity and an efficiency of retrieval is increasing in percentage depending upon the image type. This is the first ever system to use NSA during image comparison. This new method has been paved in my mind so as it can be helpful in various applications like medical image databases, art collection and World Wide Web.

 

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