A generalized approach for pattern recognition using spatial filters with reduced tolerance requirements was described in some recent publications. This approach leads to various possible implementations such as the composite matched filter, the circular harmonic matched filter, or the composite circular harmonic matched filter. The present work describes new examples leading to very high selec...

For improvement of spatial uniformity of negative ion beams, the external magnetic filter was replaced to a novel tent-shaped magnetic filter in the JAEA 10 ampere negative ion source. The tent filter geometry is based on new findings in surface production of negative ions in high electron temperature plasmas. In order to link the tent filter, the original line-cusp field configuration on the s...

We propose dual-domain filtering, an image processing paradigm that couples spatial domain with frequency domain filtering. Our dual-domain defined filter removes artifacts like residual noise of other image denoising methods and compression artifacts. Moreover, iterating the filter achieves state-of-the-art image denoising results, but with a much simpler algorithm than competing approaches. T...

Recently, correlation filters have demonstrated the excellent performance in visual tracking. However, the base training sample region is larger than the object region, including the Interference Region (IR). The IRs in training samples from cyclic shifts of the base training sample severely degrade the quality of a tracking model. In this paper, we propose the novel Region-filtering Correlatio...

The basic concept for processing spatial joins consists of two steps: First, the spatial join is performed on the minimum bounding rectangles of the objects by using a spatial access method. This step provides a set of candidates which consists of answers (hits) and non-answers (false hits). In the second step, the exact geometry of the candidates is transferred from secondary storage into main...

One of most important tasks or key steps in the designing of an EEG-based BCI system is the optimization of spatio-temporal filters for each subject due to the poor spatial resolution of the EEG recordings, as well as the topographical arrangement and frequency specificity of brain activities. A highly popular technique for the optimization of spatial filters is Common Spatial Pattern (CSP). To...

Contours in the natural visual environment consist mainly of edges which are spatially broad-band and whose (cosinusoidal) components have arrival phases close to +/-90 deg. Because early visual processing is thought to be based on a local Fourier description, the representation of edges requires two forms of filter combination: scale integration (filter combination across spatial frequency) an...

Direction-discrimination performance was measured for two-frame random-dot kinematograms in which one or both frames were spatial frequency filtered with a one octave band-pass filter and the centre frequency of this filter was varied in the range 0.75-9 c/deg independently for each frame. When both frames were filtered so that they contained common (overlapping) spatial frequencies direction d...

Light field cameras can simultaneously capture the spatial location and angular direction of light rays emanating from a scene. By placing a variable bandpass filter in the aperture of a light field camera, we demonstrate the ability to multiplex the visible spectrum over this captured angular dimension. The result is a novel design for a single-snapshot multispectral imager, with digitally rec...