An amplitude-controllable 3-D hyperchaotic map with homogenous multistability

Crisis in Amplitude Control Hides in Multistability

A crisis of amplitude control can occur when a system is multistable. This paper proposes a new chaotic system with a line of equilibria to demonstrate the threat to amplitude control from multistability. The new symmetric system has two coefficients for amplitude control, one of which is a partial amplitude controller, while the other is a total amplitude controller that simultaneously control...

Controllable 3-d Filters for Low Level Computer Vision Controllable 3-d Filters for Low Level Computer Vision

Three-dimensional data processing is becoming more and more common. Typical operations are for example estimation of optical ow in video sequences and orientation estimation in 3-D MR images. This paper proposes an eecient approach to robust low level feature extraction for 3-D image analysis. In contrast to many earlier algorithms the methods proposed in this paper support the use of relativel...

Grid Multiscroll Hyperchaotic Attractors Based on Colpitts Oscillator Mode with Controllable Grid Gradient and Scroll Numbers

Through introducing two piecewise-linear triangular wave functions in a three-dimensional spiral chaotic Colpitts oscillator model, a four-dimensional grid multiscroll hyperchaotic system is constructed. Interestingly, by adjusting a build-in parameter in a variable of one triangle wave function, the control of the gradient of the multiscroll grid is achieved. Whereas by deploying the zero poin...

Controllable 3-D Filters for Low Level Computer Vision

Three-dimensional data processing is becoming more and more common. Typical operations are for example estimation of optical flow in video sequences and orientation estimation in 3-D MR images. This paper proposes an efficient approach to robust low level feature extraction for 3-D image analysis. In contrast to many earlier algorithms the methods proposed in this paper support the use of relat...

3-D Map Reconstruction from Range Data