Image Classification in CBIR System with Colour Histogram Features

Arjunan, Vijaya R and Kumar, Vijaya V (2009) Image Classification in CBIR System with Colour Histogram Features. In: International Conference on Advances in Recent Technologies in Communication and Computing, 27-28 Oct. 2009 , Kottayam, Kerala .

[img] PDF
image_classification_artcom.pdf - Published Version
Restricted to Registered users only

Download (373kB) | Request a copy
Official URL:


Content based image retrieval (CBIR) refers to the ability to retrieve images on the basis of image content. In our work, we describe an approach to CBIR for various database images that relies on human input machine learning and computer vision. More specifically we apply expert level human interaction for solving that aspect of the problem and we employ machine learning algorithms to allow the system to be adapted to new image domains. We present empirical results for the domain of high resolution computed image of flowers. Our results illustrate the efficacy of loop approach to image characterization and the ability of our approach to adapt the retrieval process image domain through the application of machine learning algorithms.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: CBIR- Content based Image retrieval, HSVHue Saturation & Value, API- Application Program Interface, GUI- Graphical user interface
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 28 Jul 2011 07:45
Last Modified: 28 Jul 2011 07:45

Actions (login required)

View Item View Item