Fast algorithm for the computation of moment invariants
Pattern Recognition
On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simple and fast computation of moments
Pattern Recognition
Fast computation of moment invariants
Pattern Recognition
Pattern recognition with moment invariants: a comparative study and new results
Pattern Recognition
A survey of moment-based techniques for unoccluded object representation and recognition
CVGIP: Graphical Models and Image Processing
Identification and inspection of 2-D objects using new moment-based shape descriptors
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast algorithms for basic processing and analysis operations on block-represented binary images
Pattern Recognition Letters
Using moment invariants and HMM in facial expression recognition
Pattern Recognition Letters
Image Retrieval in Digital Library Based on Symmetry Detection
CGI '98 Proceedings of the Computer Graphics International 1998
Circularly orthogonal moments for geometrically robust image watermarking
Pattern Recognition
Fast and real-time moment computation methods of gray images using image block representation
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Real-time computation of two-dimensional moments on binary images using image block representation
IEEE Transactions on Image Processing
Refined moment calculation using image block representation
IEEE Transactions on Image Processing
Rotation Moment Invariants for Recognition of Symmetric Objects
IEEE Transactions on Image Processing
Decomposition of binary images-A survey and comparison
Pattern Recognition
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Moments constitute a well-known tool in the field of image analysis and pattern recognition, but they suffer from the drawback of high computational cost. Efforts for the reduction of the required computational complexity have been reported, mainly focused on binary images, but recently some approaches for gray images have been also presented. In this study, we propose a simple but effective approach for the computation of gray image moments. The gray image is decomposed in a set of binary images. Some of these binary images are substituted by an ideal image, which is called "half-intensity" image. The remaining binary images are represented using the image block representation concept and their moments are computed fast using block techniques. The proposed method computes approximated moment values with an error of 2---3% from the exact values and operates in real time (i.e., video rate). The procedure is parameterized by the number m of "half-intensity" images used, which controls the approximation error and the speed gain of the method. The computational complexity is O(kL 2), where k is the number of blocks and L is the moment order.