A method for modeling symmetries of the neighborhoods in gray-value images is derived. It is based on the form of the iso-gray-value curves. For every neighborhood a complex number is obtained through a convolution of a complex-valued image with a complex-valued filter. The magnitude of the complex number is the degree of symmetry with respect to the a priori chosen harmonic function pair. The degree of symmetry has a clear definition which is based on the error in the Fourier domain. The argument of the complex number is the angle representing the relative dominance of one of the pair of harmonic functions compared to the other
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
Methods are constructed for rapidly computing correlation functions using the theory of abstract har...
A method for modeling symmetries of the neighborhoods in gray-value images is derived. It is based o...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
The symmetries in a neighbourhood of a gray value image are modelled by con-jugate harmonic function...
The extraction of features is necessary for all aspects of image processing and analysis such as cla...
The extraction of features is necessary for all aspects of image processing and analysis such as cla...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
Methods are constructed for rapidly computing correlation functions using the theory of abstract har...
A method for modeling symmetries of the neighborhoods in gray-value images is derived. It is based o...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
The symmetries in a neighbourhood of a gray value image are modelled by con-jugate harmonic function...
The extraction of features is necessary for all aspects of image processing and analysis such as cla...
The extraction of features is necessary for all aspects of image processing and analysis such as cla...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
We consider detection of local image symmetry using linear filters. We prove a simple criterion for ...
Methods are constructed for rapidly computing correlation functions using the theory of abstract har...