Image Retrieval Based on Content Using Color Feature

Ahmed J. Afifi

ISBN 10: 3845440554 / ISBN 13: 9783845440552

Published by LAP LAMBERT Academic Publishing Sep 2011, 2011

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -In various application domains such as education, crime prevention, commerce, and biomedicine, the volume of digital data is increasing rapidly. The problem appears when retrieving the information from the storage media. Content-based image retrieval systems aim to retrieve images from large image databases similar to the query image based on the similarity between image features. This book presents a CBIR system that uses the color feature as a visual feature to represent the images. Images are selected from the WANG database that is widely used for CBIR performance evaluation. Ranklet Transform is used to make the image invariant to rotation and any image enhancement operations. For the resulting ranklet images, the color feature is extracted by calculating the color moments. The color moments are invariant to rotation and scaling. This is a benefit of our system. To speed up the retrieval time, images are clustered according to their features using k-means clustering algorithm. 76 pp. Englisch.

Seller Inventory # 9783845440552

Bibliographic Details

• Title: Image Retrieval Based on Content Using Color Feature
• Publisher: LAP LAMBERT Academic Publishing Sep 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3845440554
• ISBN 13: 9783845440552
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 131 grams

About this title

Synopsis

In various application domains such as education, crime prevention, commerce, and biomedicine, the volume of digital data is increasing rapidly. The problem appears when retrieving the information from the storage media. Content-based image retrieval systems aim to retrieve images from large image databases similar to the query image based on the similarity between image features. This book presents a CBIR system that uses the color feature as a visual feature to represent the images. Images are selected from the WANG database that is widely used for CBIR performance evaluation. Ranklet Transform is used to make the image invariant to rotation and any image enhancement operations. For the resulting ranklet images, the color feature is extracted by calculating the color moments. The color moments are invariant to rotation and scaling. This is a benefit of our system. To speed up the retrieval time, images are clustered according to their features using k-means clustering algorithm.

About the Author

Ahmed J. Afifi has graduated in 2008 with B.Sc. in Computer Engineering from Islamic University of Gaza. He has worked at IUG for 1 year as a teaching assistant. In 2011, he has graduated with M.Sc. in Computer Engineering from IUG. His research interest is image processing, pattern recognition, and artificial intelligence.