We propose orthogonal Fourier-Mellin moments, which are more suitable than Zernike moments, for scale-and rotation-invariant pattern recognition. The new orthogonal radial polynomials have more zeros than do the Zernike radial polynomials in the region of small radial distance. The orthogonal Fourier-Mellin moments may be thought of as generalized Zernike… (More)
We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity invariant. Compared with Chebyshev-Fourier moments, the new moments have superior performance near the origin and better ability to describe small images in terms of image-reconstruction errors and noise sensitivity. A multidistortion-invariant… (More)
We present a new method to register high and low resolution color images of the retina as well as high resolution angiographies. The registration method is based on global point mapping with blood vessel bifurcations as control points. We also present results of various image fusion algorithms to determine the most appropriate one. Registration and fusion… (More)
In this paper, we apply a recently developed type of moments , Orthogonal Fourier-Mellin Moments (OFMMs) , to the specijic problem of fully translation-, scale-and in-plane rotation-invariant detection of human faces in two-dimensional static color images, and we compare theirper-formance with that of the generalized Hu's moments or non-orthogonal… (More)
Cell mechanical activity generated from the interplay between the extracellular matrix (ECM) and the actin cytoskeleton is essential for the regulation of cell adhesion, spreading and migration during normal and cancer development. Keratins are the intermediate filament (IF) proteins of epithelial cells, expressed as pairs in a lineage/differentiation… (More)
An enhanced greylevel differential invariant matching scheme is applied to the stabilization of real-world, infrared image sequences that have large translation, rotation, scaling and viewpoint changes. Its performance is compared with that of Zhang's robust image matching method.
The area-based methods, such as that using the Laplacian pyramid and Fourier transform-based phase matching, benefit by highlighting high spatial frequencies to reduce sensitivity to the feature inconsistency problem in the multisensor image registration. The feature extraction and matching methods are more powerful and versatile to process poor quality IR… (More)
For detecting vehicles in large scale aerial images we first used a non-parametric method proposed recently by Rosin to define the regions of interest, where the vehicles appear with dense edges. The saliency map is a sum of distance transforms (DT) of a set of edges maps, which are obtained by a threshold decomposition of the gradient image with a set of… (More)