Intelligent Content Based Image Retrieval System
نویسندگان
چکیده
The main objective of this paper is to design An Intelligent Content Based Image Retrieval System for retrieving better results (similar images) from large image database with respect to an input query image. In this research work, we have used features like Color, Texture and shape with separate and combined effects. For making CBIR system intelligent, we have applied Non Linear Neural Network method along with KNN clustering method. This ICBIR system demonstrates faster image retrieval with intelligence capability as compare to existing CBIR systems. CBIR Systems play very important roles in different domains such as Digital Image Processing, Pattern Recognition, Bio Medical, Data ware Housing and Data Mining, Weather Analysis, Cyber Crime. KeywordsICBIR , Color ,Texture, Shape ,Color Histogram ,Color Moment, Correlogram, Wavelet Transformation ,Gabor Filter , Non Linear Neural Network , KNN clustering
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