Content-based Image Retrieval using Deep Convolution Neural Network

摘要

Use of computationally expensive Neural Network for processing huge amount of data is increased in recent past. Deep Convolution Neural Network is widely used by researchers to analyze images for variety of applications. This paper presents a Content based Image Retrieval system using Deep Convolution Neural Network. Experiments are performed on Gray images, RGB color space, YCbCr color space images grouped into different clusters. Precision-recall crossover point is used as performance measurement criteria.