This paper is devoted to the research of bitmap image processing based on wavelet functions. The Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional...
详细信息
This paper is devoted to the research of bitmap image processing based on wavelet functions. The Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional signals, because the analysis of existing wavelet functions showed that the Daubechies wavelet family is most effective for image processing. OpenMP parallel programming in C/C++ was used for the parallelization of computing processes in image processing problems.
In the lighting conditions such as snowing, hazing, raining, and weak lighting condition, the accuracy of traffic sign recognition is not very high. It is important to develop an algorithms for real-time fast detectio...
详细信息
In the presented work, the relative throughput of both a ground-based range transponder and the entire short-range radio engineering system is estimated under the action in the range channel of the total flow of range...
详细信息
Cyber Physical systems (CPS) are systems that exhibit tight coordination of computational and physical elements. A CPS node which is a mobile node having sensors should cooperate with each other in order to monitor an...
详细信息
ISBN:
(纸本)9781467348232
Cyber Physical systems (CPS) are systems that exhibit tight coordination of computational and physical elements. A CPS node which is a mobile node having sensors should cooperate with each other in order to monitor and control the physical world adaptively. In the CPS environment, Guaranteeing reliability, real-time service, and scalability are significant issues. To meet these requirements, Opportunistic Routing (OR) can be used effectively. The OR is a recent routing paradigm that achieves high throughput by taking full advantage of the broadcast nature of wireless channel. Moreover, multicast can also be available as means to manage coordination among CPS nodes. In this paper, we propose a reliable and scalable real-time multicast routing protocol based on the opportunistic routing and location information of nodes called Opportunistic Multicast Routing (OMR) for CPS. OMR satisfies the CPS requirements through hop-by-hop strategy rather than end-to-end strategy. The simulation results show that OMR achieves better multicast efficiency and reliability than the traditional multicast routing protocol.
Currently, deep learning algorithms are developing in machine learning and deep neural networks. However, deep learning algorithms still have pressing problems to solve. That is, the data set is insufficient and of lo...
Currently, deep learning algorithms are developing in machine learning and deep neural networks. However, deep learning algorithms still have pressing problems to solve. That is, the data set is insufficient and of low quality for machine learning. One of the ways to solve this problem is to data augmentation the dataset. There are two types of image data sets: labeled data sets and unlabeled data sets. These annotations are important for object recognition. Deep learning algorithms typically use an annotated dataset. Similarly, the You Only Look Once (YOLOv5) network model also requires an annotated dataset. In this article, we manually created annotations for each image using the labelImg software tool. Different countries have different Traffic signs. The dataset of traffic signs of Uzbekistan (UTSD) has not yet been developed. Therefore, in this work, we developed a UTSD dataset for use in a traffic sign detection and recognition system (TSDR). The UTSD dataset contains 3957 Traffic sign images belonging to 56 classes. We improved the UTSD dataset by data augmentation.
In the lighting conditions such as snowing, hazing, raining, and weak lighting condition, the accuracy of traffic sign recognition is not very high. It is important to develop an algorithms for real-time fast detectio...
In the lighting conditions such as snowing, hazing, raining, and weak lighting condition, the accuracy of traffic sign recognition is not very high. It is important to develop an algorithms for real-time fast detection of road signs from video images and use them in driver assistance systems. Firstly, we image preprocessing by using dark channel prior based image dehazing for remove noises from the input image. In this article, we develop a transposed image filtering method combined with other fast parallel filtering algorithms. We propose a high-speed and high-accuracy method by improving image dehazing algorithms and analyzing GPU architecture. In this, we quickly removing fog from HD video images using DCP with image quality and visual effects.
暂无评论