Computer recognition of three-dimensional objects from optical images
Computer recognition of three-dimensional objects from optical images
An experimental study of moment methods for automatic identification of three-dimensional objects from television images.
Automatic Ship Photo Interpretation by the Method of Moments
IEEE Transactions on Computers
Parallel computable contour based feature strings for 2-D shape recognition
Pattern Recognition Letters
Recognition of the blurred image by complex moment invariants
Pattern Recognition Letters
Image analysis by modified Legendre moments
Pattern Recognition
An automatic method for generating affine moment invariants
Pattern Recognition Letters
On statistical approaches to target silhouette classification in difficult conditions
Digital Signal Processing
Review article: Aircraft recognition in infrared image using wavelet moment invariants
Image and Vision Computing
Three-dimensional approach to thresholding seal impressions
Pattern Recognition
A symmetry and bi-recursive algorithm of accurately computing Krawtchouk moments
Pattern Recognition Letters
Efficient hardware architectures for computation of image moments
Real-Time Imaging
Ship classification by superstructure moment invariants
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Image quality assessment by discrete orthogonal moments
Pattern Recognition
Color and texture analysis using emerging parallel architectures
International Journal of High Performance Computing Applications
Shape recognition via an a contrario model for size functions
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
A comparison of 2-d moment-based description techniques
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
On discrete moments of unbounded order
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Shape retrieval using statistical chord-length features
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Robustness of shape similarity retrieval under affine transformation
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
An efficient content based image retrieval framework using machine learning techniques
ICDEM'10 Proceedings of the Second international conference on Data Engineering and Management
Region-based image retrieval using the semantic cluster matrix and adaptive learning
International Journal of Computational Science and Engineering
Geometric transform Invariant Texture Analysis based on Modified Zernike Moments
Fundamenta Informaticae
Aircraft recognition using modular extreme learning machine
Neurocomputing
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Although many systems for optical reading of printed matter have been developed and are now in wide use, comparatively little success has been achieved in the automatic interpretation of optical images of three-dimensional scenes. This paper is addressed to the latter problem and is specifically concerned with automatic recognition of aircraft types from optical images. An experimental system is described in which certain features called moment invariants are extracted from binary television images and are then used for automatic classification. This experimental system has exhibited a significantly lower error rate than human observers in a limited laboratory test involving 132 images of six aircraft types. Preliminary indications are that this performance can be extended to a wider class of objects and that identification can be accomplished in one second or less with a small computer.