Image Noise Preprocessing of Interactive Projection System Based on Switching Filtering Scheme

Yu, Lei

doi:10.1155/2018/1258306

Cited by 11 publications

(9 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The stability of the switching system is different from that of a general linear system or a nonlinear system. [19][20][21][22][23][24][25][26][37][38][39][40][41][42] Since the system state is changed by the switching signal and jumps to the next continuous interval subsystem, the subsystems have a discrete relationship with each other, and each filtering method also exists discrete relationship between them, which provides a logical basis for the introduction of digital filtering in the switching system and ensures its feasibility.…”

Section: Switching Filtering Methods With Bayesian Estimationmentioning

confidence: 99%

Switching filtering method for interactive systems

Hou

Fang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part I:

Self Cite

View full text Add to dashboard Cite

Aiming at the problem that the mixed noise interference caused by the mixed projection noise system is not accurate and the real-time performance is poor, this article proposes an adaptive system switching filtering method based on Bayesian estimation switching rules. The method chooses joint bilateral filtering and improved adaptive median filtering as the filtering subsystems and selects the sub-filtering system suitable for the noise by switching rules to achieve the purpose of effectively removing noise. The simulation experiment was carried out by the self-developed human–computer interactive projection image system platform. Through the subjective evaluation, objective evaluation, and running time comparison analysis, a better filtering effect was achieved, and the balance between the filtering precision and the real-time performance of the interactive system was well obtained. Therefore, the proposed method can be widely applied to various human–computer interactive image filtering systems.

show abstract

Section: Switching Filtering Methods With Bayesian Estimationmentioning

confidence: 99%

Switching filtering method for interactive systems

Hou

Fang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part I:

Self Cite

View full text Add to dashboard Cite

show abstract

“…After the configuration logic is completed, the interface display of the superheated steam temperature control system is configured and displayed the real-time control system temperature, and the manual-automatic switching can be conveniently performed. Also, effectiveness of system parameters should be clearly illustrated, so it is better to extend the current results for the underlying systems under the filter and switching method [23][24][25][26][27].…”

Section: Configuration Design With Anti-integration Saturationmentioning

confidence: 99%

Undisturbed Switching Control Method of Superheated Steam Temperature Systems

2019

Complexity

Self Cite

View full text Add to dashboard Cite

In this paper, a new type of superheated steam temperature switching control system for thermal power plants is presented. A single neuron adaptive PSD (Proportional Sum Differential) predictive controller is designed. The DCS (Distributed Control System) control system platform is used for configuration design. At the same time, the feedforward compensation technology and anti-integration saturation technology are employed to improve the characteristics of large hysteresis and multi-interference in the superheated steam temperature system. Undisturbed switching performance can be well obtained between the new controller and its own PID controller. This proposed method has been well applied in a thermal power plant (600MW) and achieved better control quality.

show abstract

“…Therefore, it is necessary to denoise the detected edge image. The median filter [18] also filters out noise while maintaining the edges of the image. The basic principle is as follows: select a symmetrical area centering on each pixel in the image, and sort all the pixel values in the area, taking the middle pixel value as the pixel value of the current point.…”

Section: Median Filteringmentioning

confidence: 99%

An Effective Algorithm for Video‐Based Parking and Drop Event Detection

Song

Zheng

2019

Complexity

View full text Add to dashboard Cite

Real-time and accurate detection of parking and dropping events on the road is important for the avoidance of traffic accidents. The existing algorithms for detection require accurate modeling of the background, and most of them use the characteristics of two-dimensional images such as area to distinguish the type of the target. However, these algorithms significantly depend on the background and are lack of accuracy on the type of distinction. Therefore, this paper proposes an algorithm for detecting parking and dropping objects that uses real three-dimensional information to distinguish the type of target. Firstly, an abnormal region is initially defined based on status change, when there is an object that did not exist before in the traffic scene. Secondly, the preliminary determination of the abnormal area is bidirectionally tracked to determine the area of parking and dropping objects, and the eight-neighbor seed filling algorithm is used to segment the parking and the dropping object area. Finally, a three-view recognition method based on inverse projection is proposed to distinguish the parking and dropping objects. The method is based on the matching of the three-dimensional structure of the vehicle body. In addition, the three-dimensional wireframe of the vehicle extracted by the back-projection can be used to match the structural model of the vehicle, and the vehicle model can be further identified. The 3D wireframe of the established vehicle is efficient and can meet the needs of real-time applications. And, based on experimental data collected in tunnels, highways, urban expressways, and rural roads, the proposed algorithm is verified. The results show that the algorithm can effectively detect the parking and dropping objects within different environment, with low miss and false detection rate.

show abstract

Image Noise Preprocessing of Interactive Projection System Based on Switching Filtering Scheme

Cited by 11 publications

References 30 publications

Switching filtering method for interactive systems

Switching filtering method for interactive systems

Undisturbed Switching Control Method of Superheated Steam Temperature Systems

An Effective Algorithm for Video‐Based Parking and Drop Event Detection

Contact Info

Product

Resources

About