Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
New computational methods for full and subset Zernike moments
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
An Efficient Method for the Computation of Legendre Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive computation of Tchebichef moment and its inverse transform
Pattern Recognition
Image analysis by discrete orthogonal Racah moments
Signal Processing
Information Sciences: an International Journal
On the computational aspects of Zernike moments
Image and Vision Computing
A new class of Zernike moments for computer vision applications
Information Sciences: an International Journal
Translation and scale invariants of Tchebichef moments
Pattern Recognition
Image analysis by discrete orthogonal dual Hahn moments
Pattern Recognition Letters
Exact Legendre moment computation for gray level images
Pattern Recognition
Image Analysis Using Hahn Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient and accurate computation of geometric moments on gray-scale images
Pattern Recognition
Neighborhood rough set based heterogeneous feature subset selection
Information Sciences: an International Journal
Subspace based feature selection for pattern recognition
Information Sciences: an International Journal
Image retrieval model based on weighted visual features determined by relevance feedback
Information Sciences: an International Journal
Real-time computation of two-dimensional moments on binary images using image block representation
IEEE Transactions on Image Processing
Image analysis by Tchebichef moments
IEEE Transactions on Image Processing
Image analysis by Krawtchouk moments
IEEE Transactions on Image Processing
Accurate Computation of Zernike Moments in Polar Coordinates
IEEE Transactions on Image Processing
Orthogonal Rotation-Invariant Moments for Digital Image Processing
IEEE Transactions on Image Processing
Orthogonal variant moments features in image analysis
Information Sciences: an International Journal
A systematic method for efficient computation of full and subsets Zernike moments
Information Sciences: an International Journal
Fast computation of tchebichef moments for binary and grayscale images
IEEE Transactions on Image Processing
Fast computation of exact Zernike moments using cascaded digital filters
Information Sciences: an International Journal
Performance evaluation of moment-based watermarking methods: A review
Journal of Systems and Software
The fast recursive computation of Tchebichef moment and its inverse transform based on Z-transform
Digital Signal Processing
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A novel methodology is proposed in this paper to accelerate the computation of discrete orthogonal image moments. The computation scheme is mainly based on a new image representation method, the image slice representation (ISR) method, according to which an image can be expressed as the outcome of an appropriate combination of several non-overlapped intensity slices. This image representation decomposes an image into a number of binary slices of the same size whose pixels come in two intensities, black or any other gray-level value. Therefore the image block representation can be effectively applied to describe the image in a more compact way. Once the image is partitioned into intensity blocks, the computation of the image moments can be accelerated, as the moments can be computed by using decoupled computation forms. The proposed algorithm constitutes a unified methodology that can be applied to any discrete moment family in the same way and produces similar promising results, as has been concluded through a detailed experimental investigation.