Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Autoregressive Model Approach to Two-Dimensional Shape Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Discrimination Using Fourier Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special memorial issue for Professor King-Sun Fu
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
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
Pattern recognition with moment invariants: a comparative study and new results
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parameterizing arbitrary shapes via Fourier descriptors for evidence-gathering extraction
Computer Vision and Image Understanding
Curvature scale space image in shape similarity retrieval
Multimedia Systems
Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Using Functions to Describe the Shape
Journal of Mathematical Imaging and Vision
Query by Visual Example - Content based Image Retrieval
EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology
Affine invariant descriptors for color images using Fourier series
Pattern Recognition Letters
BAS: a perceptual shape descriptor based on the beam angle statistics
Pattern Recognition Letters
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Evaluation of MPEG-7 shape descriptors against other shape descriptors
Multimedia Systems
WARP: Accurate Retrieval of Shapes Using Phase of Fourier Descriptors and Time Warping Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Effective invariant features for shape-based image retrieval: Research Articles
Journal of the American Society for Information Science and Technology
A Comparative Study of Three Moment-Based Shape Descriptors
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
Multiscale Fourier descriptors for defect image retrieval
Pattern Recognition Letters
Chain Code Distribution-Based Image Retrieval
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Shape retrieval using triangle-area representation and dynamic space warping
Pattern Recognition
Invariant Content-Based Image Retrieval Using a Complete Set of Fourier-Mellin Descriptors
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
Optimal partial shape similarity
Image and Vision Computing
Description and Discrimination of Planar Shapes Using Shape Matrices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelet descriptor of planar curves: theory and applications
IEEE Transactions on Image Processing
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Image analysis by Tchebichef moments
IEEE Transactions on Image Processing
A multiscale representation method for nonrigid shapes with a single closed contour
IEEE Transactions on Circuits and Systems for Video Technology
DTW for matching radon features: a pattern recognition and retrieval method
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Measuring linearity of open planar curve segments
Image and Vision Computing
ADR shape descriptor - Distance between shape centroids versus shape diameter
Computer Vision and Image Understanding
Invariant curvature-based Fourier shape descriptors
Journal of Visual Communication and Image Representation
Shape classification by manifold learning in multiple observation spaces
Information Sciences: an International Journal
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Shape description is an important task in content-based image retrieval (CBIR). A variety of techniques have been reported in the literature that aims to represent objects based on their shapes. Each of these techniques has its pros and cons. Fourier descriptor (FD) is one of these techniques a simple, yet powerful technique that offers attractive properties such as rotational, scale, and translational invariance. Shape signatures, which constitute an essential component of Fourier descriptors, reduce 2-D shapes to 1-D functions and hence facilitate the process of deriving invariant shape features using the Fourier transform. A good number of shape signatures have been reported in the literature. These shape signatures lack important shape information, such as corners, in their representations. This information plays a major role in distinguishing between different shapes. In this paper, we present the farthest point distance (FPD), a novel shape signature that includes corner information to enhance the performance of shape retrieval using Fourier descriptors. The signature is calculated at each point on a shape contour. This signature yields distances calculated between the different shape corners, and captures points within the shape at which the human focuses visual attention in order to classify shapes. To reach a comprehensive conclusion about the merit of the proposed signature, the signature is compared against eight popular signatures using the well-known MPEG-7 database. Furthermore, the proposed signature is evaluated against standard boundary- and region-based techniques: the curvature scale space (CSS) and the Zernike moments (ZM). The FPD signature has demonstrated superior overall performance compared with the other eight signatures and the two standard techniques.