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Binary and Local Features Extraction on Content Based Image Retrieval

Author(s):

Nupur Kumari , Dayalbagh educational institute Agra; Preetvanti Singh, Dayalbagh educational institute Agra

Keywords:

Content Based Image Retrieval (CBIR), Speeded up Robust Feature (SURF), Fast Retina Keypoint (Fast), Deep Neural Network (DNN)

Abstract

Content Based Image Retrieval (CBIR) is a technique for retrieving images from large digital image databases. CBIR depends on extracting visual features such as color, texture and shape of an image. These features are extracted automatically without any human intervention. In this paper, visual word integration of SURF and Freak feature descriptors are performed. Then for checking similarity deep neural network is trained and finally performance analysis is done for showing the results.

Other Details

Paper ID: IJSRDV6I21074
Published in: Volume : 6, Issue : 2
Publication Date: 01/05/2018
Page(s): 3673-3675

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