Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Representation by Multiscale Contour Approximation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Matching Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelet-based corner detection technique using optimal scale
Pattern Recognition Letters
Shape Description and Search for Similar Objects in Image Databases
State-of-the-Art in Content-Based Image and Video Retrieval [Dagstuhl Seminar, 5-10 December 1999]
Content-based trademark retrieval system using visually salient features
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
IRUS: Image Retrieval Using Shape
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
MultiWaveMed: a system for medical image retrieval through wavelets transformations
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Integrating images to patient electronic medical records through content-based retrieval techniques
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
MPEG-7 visual shape descriptors
IEEE Transactions on Circuits and Systems for Video Technology
Hierarchical classification using a frequency-based weighting and simple visual features
Pattern Recognition Letters
A content based image retrieval system for a biological specimen collection
Computer Vision and Image Understanding
IEEE Transactions on Image Processing
Cervical spine image retrieval with semantic shape features
International Journal of Computational Vision and Robotics
On nonmetric similarity search problems in complex domains
ACM Computing Surveys (CSUR)
High Performance Adaptive Fidelity Algorithms for Multi-Modality Optic Nerve Head Image Fusion
Journal of Signal Processing Systems
Affine invariant gradient based shape descriptor
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Visual knowledge annotation and management by using qualitative spatial information
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Mammogram retrieval on similar mass lesions
Computer Methods and Programs in Biomedicine
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Efficient content-based image retrieval (CBIR) of biomedical images is a challenging problem. Feature representation algorithms used in indexing medical images on the pathology of interest have to address conflicting goals of reducing feature dimensionality while retaining important and often subtle biomedical features. At the Lister Hill National Center for Biomedical Communications, an intramural R&D division of the U.S. National Library of Medicine, we are developing CBIR prototype for digitized images of a collection of 17,000 cervical and lumbar spine X-rays taken as a part of the second National Health and Nutrition Examination Survey (NHANES II). The vertebra shape effectively describes various pathologies identified by medical experts as being consistently and reliably found in the image collection. A suitable shape algorithm must represent shapes in low dimension, be invariant to rotation, translation, and scale transforms, and retain relevant pathology. Additionally, supported similarity algorithms must be useful in retrieving images that are relevant to the queries posed by the intended target community, viz. medical researchers, physicians, etc. This paper describes an evaluation of two popular shape similarity methods from the literature on a set of 250 vertebra boundary shapes. The polygon approximation method achieved a performance score of 55.94% and bettered the Fourier descriptor algorithm which had a performance score of 46.96%.