Sentence examples for the frequency and orientation of from inspiring English sources

where k ν and ϕ μ are the frequency and orientation of targeted texture.

Briefly, the positive and negative first-order Fourier components were shifted by a vector corresponding to the frequency and orientation of the excitation pattern, ω and − ω respectively.

By illuminating the specimen with sinusoidal excitation patterns of different phases and exploiting precise knowledge of the frequency and orientation of the excitation pattern, these aliased components can be weighted and shifted to their true location in Fourier space.

The Gabor filter is used for edge detection in image processing, the frequency and orientation representations of Gabor filters are similar to those of the human visual system and efficient to describe the texture.

Four behaviors were measured for four consecutive tidal cycles for each of 3 months: the magnitude, frequency, and orientation of movements, and the use of shelters (i.e., crevices).

Frequency and orientation of the filters can simulate those of the human visual system, and they have the characteristics of being particularly appropriate for texture representation and discrimination.

This possibility also receives support from a quite similar fMRI research using Gabor patches as materials, while the spatial frequency and the orientation of the patch itself as the dimensions of interest [36].

The proposed approach is further employed to investigate the effects of the length, location, and orientation of crack on frequencies and nodal patterns of simply supported and cantilevered cracked rectangular plates.

Check size was scaled to the RF size of the target neuron so that approximately two checks corresponded to one lobe of the optimal spatial frequency, and orientation was set according to the orientation preference of the target neuron.

For random orientation nanoparticles, the frequency and temperature dependence of the coercive field is described by the following equation[18]: μ 0 H c = 2 K ρ M S 0.479 - 0.81 k B T 1 2 KV ln 1 f τ 0 3 4 (7).

Firstly, the noisy image is decomposed into different subbands of frequency and orientation responses using the NSST.