Three-Dimensional Shape Analysis Using Moments and Fourier Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Application of Affine-Invariant Fourier Descriptors to Recognition of 3-D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Picture retrieval by content description
Journal of Information Science
A survey of moment-based techniques for unoccluded object representation and recognition
CVGIP: Graphical Models and Image Processing
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Shape Detection and Description via Model-Based Region Grouping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Quantitative assessment of image retrieval effectiveness
Journal of the American Society for Information Science and Technology
Informaton theoretic similarity measures for content based image retrieval
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Digital Image Processing
Incremental feature weight learning and its application to a shape-based query system
Pattern Recognition Letters
Modal Matching for Correspondence and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Research Directions in Image Database Management (Panel)
Proceedings of the Eighth International Conference on Data Engineering
Proceedings of the Sixth International Conference on Data Engineering
Study of Relative Effectiveness of Features in Content-Based Image Retrievals
CW '02 Proceedings of the First International Symposium on Cyber Worlds (CW'02)
Shape Matching: Similarity Measures and Algorithms
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
The PicToSeek WWW Image Search System
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
Optimal reconstruction of images from localized phase
IEEE Transactions on Image Processing
MPEG-7 visual shape descriptors
IEEE Transactions on Circuits and Systems for Video Technology
Farthest point distance: A new shape signature for Fourier descriptors
Image Communication
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Effective image retrieval for the m-learning system
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Invariant curvature-based Fourier shape descriptors
Journal of Visual Communication and Image Representation
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The success of content-based image retrieval (CBIR) relies critically on the ability to find effective image features to represent the database images. The shape of an object is a fundamental image feature and belongs to one of the most important image features used in CBIR. In this article we propose a robust and effective shape feature known as the compound image descriptor (CID), which combines the Fourier transform (FT) magnitude and phase coefficients with the global features. The underlying FT coefficients have been shown analytically to be invariant to rotation, translation, and scaling. We also present details of the underlying innovative shape feature extraction method. The global features, besides being incorporated with the FT coefficients to form the CID, are also used to filter out the highly dissimilar images during the image retrieval process. Thus, they serve a dual purpose of improving the accuracy and hence the robustness of the shape descriptor, and of speeding up the retrieval process, leading to a reduced query response time. Experiment results show that the proposed shape descriptor is, in general, robust to changes caused by image shape rotation, translation, and/or scaling. It also outperforms other recently published proposals, such as the generic Fourier descriptor (Zhang & Lu, 2002). © 2005 Wiley Periodicals, Inc.