Application of Radial Basis Function Network for Content Based Image Retrieval

Chandrasekhar G. Patil; Dr. Mahesh T. Kolte; Dr. Prashant N. Chatur; M. M. Sardeshmukh

The performance of active learning of the Classifier and Optimizer decides the accuracy of Content Based Image Retrieval The Classifier is used to reduce the huge amount of the data base and will offer the semantically similar images whereas the optimizer optimizes the semantic difference between the Query Image and the Retrieved Classified images .The active learning plays an important role in this target oriented Image Retrieval strategy. The Image searching will be performed by comparing the similarity of the features with that of stored in the data base. Absolute, Euclidian distances are few of the parameters that can be used for comparing the similarity between the images. The Radial Basis Function Network Neural Network is used in this approach for classifying the Images and the Image retrieval is designed by using the Absolute distance.

Select Volume / Issues:

• Volume 3 Issue 5, Sept. 2012

Year:

2012

Type of Publication:

Article

Keywords:

Image Retrieval; Query image; Database; mean; standard deviation; features; semantic

Journal:

IJECCE

Volume:

3

Number:

5

Pages:

1252-1256

Month:

Sept.