Efficient Legendre moment computation for grey level images
Pattern Recognition
Journal of Visual Communication and Image Representation
Efficient and accurate computation of geometric moments on gray-scale images
Pattern Recognition
A unified methodology for the efficient computation of discrete orthogonal image moments
Information Sciences: an International Journal
Accurate and speedy computation of image Legendre moments for computer vision applications
Image and Vision Computing
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
On-chip body posture detection for medical care applications using low-cost CMOS cameras
Integrated Computer-Aided Engineering
Fast computation of tchebichef moments for binary and grayscale images
IEEE Transactions on Image Processing
Parameterized real-time moment computation on gray images using block techniques
Journal of Real-Time Image Processing
Decomposition of binary images-A survey and comparison
Pattern Recognition
Rectangular decomposition of binary images
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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This work presents a new approach and an algorithm for binary image representation, which is applied for the fast and efficient computation of moments on binary images. This binary image representation scheme is called image block representation, since it represents the image as a set of nonoverlapping rectangular areas. The main purpose of the image block representation process is to provide an efficient binary image representation rather than the compression of the image. The block represented binary image is well suited for fast implementation of various processing and analysis algorithms in a digital computing machine. The two-dimensional (2-D) statistical moments of the image may be used for image processing and analysis applications. A number of powerful shape analysis methods based on statistical moments have been presented, but they suffer from the drawback of high computational cost. The real-time computation of moments in block represented images is achieved by exploiting the rectangular structure of the blocks