Improved spatial filtering velocimetry and its application in granular flow measurement*

Abstract

Spatial filtering velocimetry (SFV) has the advantages of simple structure, good stability, and wide applications. However, the traditional linear CCD-based SFV method requires an accurate angle between the direction of linear CCD and the direction of moving object, so it is not suitable for measuring a complex flow field or two-dimensional speed in a granular media. In this paper, a new extension of spatial filtering method (SFM) based on high speed array CCD camera is proposed as simple and effective technique for measuring two-dimensional speed field of granular media. In particular, we analyzed the resolution and range of array CCD-based SFV so that the reader can clarify the application scene of this method. This method has a particular advantage for using orthogonal measurement to avoid the angle measurement, which were problematic when using linear CCD to measure the movement. Finally, the end-wall effects of the granular flow in rotating drum is studied with different experimental conditions by using this improved technique.

Optical image encryption algorithm based on a new four-dimensional memristive hyperchaotic system and compressed sensing

“…With the rapid development of the Internet, artificial intelligence technology is more and more closely connected with people's lives, [1][2][3][4][5][6] and different types of data can be rapidly disseminated and diffused through the network, in which the issue of image information security has become more and more serious. [7][8][9] In order to address the above issues, some image encryption schemes have been proposed.…”