To improve contrast and restore color for underwater images without suffering from insufficient details cast, this paper proposes a fusion algorithm different spaces based on limited adaptive histogram equalization (CLAHE). The original image is first converted RGB space to two spaces: YIQ HSI. Then, the separately applies CLAHE in HSI obtain enhanced images. After that, are respectively back space. When three components of red, green, blue not coherent YIQ-RGB or HSI-RGB images, will have...

In order to improve contrast and restore color for underwater image captured by camera sensors without suffering from insufficient details cast, a fusion algorithm enhancement in different spaces based on limited adaptive histogram equalization (CLAHE) is proposed this article. The original first converted RGB space two special spaces: YIQ HSI. conversion linear transformation, while the HSI nonlinear. Then, separately operates CLAHE obtain images. luminance component (Y) intensity (I) are...

For more than two decades, the issue of simultaneous localization and mapping (SLAM) has gained attention from researchers remains an influential topic in robotics. Currently, various algorithms mobile robot SLAM have been investigated. However, probability-based algorithm is often used unknown environment. In this paper, authors proposed main localization. First linear Kalman Filter (KF) SLAM, which consists five phases, such as (a) motionless with absolute measurement, (b) moving vehicle...

Mobile robot localization has attracted substantial consideration from the scientists during last two decades. is basics of successful navigation in a mobile network. Localization plays key role to attain high accuracy and robustness vehicular localization. For this purpose, technique evaluated accomplish accuracy. This paper provides performance evaluation three techniques named Extended Kalman Filter (EKF), Unscented (UKF), Particle (PF). In work, are proposed. The these analyzed while...

This paper proposed a new method for surface defect detection of photovoltaic module based on independent component analysis (ICA) reconstruction algorithm. Firstly, faultless image is used as the training image. The demixing matrix and corresponding ICs are obtained by applying ICA in Then we reorder according to range values reform de-mixing matrix. reformed reconstruct resulting can remove background structures enhance local anomalies. Experimental results have shown that effectively...

The interaction between cavitation bubbles and solid surfaces is an important issue when investigating the mechanism of collapsing bubbles. property a surface has great effect on inception, development collapse In this work, we aim to investigate wettability using multi-relaxation-time lattice Boltzmann model. First, pseudopotential improved by involving piecewise linear equation state forcing scheme modified Li et al. model verified Laplace law. Next, fluid–solid in employed adjust surface....

The surface defects in copper strips severely affect the quality of copper. So detecting strip has great significance to improve quality. This paper presents a inspection based on computer vision, which uses modularized frame hardware and software image processing. adopts self-adaptive weight averaging filtering method preprocess image, moment invariants pick characters typical eigenvector is identified with RBF neural networks. Experiments show that real-time can effectively detect production line.

This paper presented a special design and implementation of human detection based on SVM (support vector machine) this method is used in intelligent video surveillance system. In order to simplify the classifier improve efficiency machine learning, both grid representation center radiating are proposed abstract features object. The sample data obtained through processing analysis including no-human which forms training input SVM. Finally, we trained recognizer identify whether there somebody...

Recently, it becomes more important to ensure the quality of products as copper strip manufacturing has been highly developed. The most difficult problem in process control and automatic inspection is classification surface defects, so we develop an improved RBF (radial basis function) neural network classifier based on SVM (support vector machine) automatically learn complicated defect patterns use pseudo Zernike moment invariant feature. optimal initial parameters are gained through SVM,...

Directing towards the characteristics and importance of copper strips surface inspection, this paper proposes a inspection system based on artificial intelligence from standpoint intelligence. It uses computer vision to capture defects images, Hu invariant moments as eigenvectors BP neural network genetic algorithm combined with expert train learn samples. The trained weights are used diagnose knowledge base intelligent fusion is constructed . experimental results proved that model can...

This paper presents algorithms for vision-based detection, tracking and trajectory generation of vehicles in simple video sequences traffic scenes which are registered by a stationary camera. Processing is done three steps: improved vehicle detection method, faster algorithm new technique. Vehicles viewed as rectangular blocks with certain active action. The propounded method based on the correspondences between regions vehicles, moving through sequence. technique, used gathering statistical...

A face detection method for the color image with complex background is presented, which a mixed skin-color segmentation model in both YCbCr and HIS space constructed; The can be used to segment of possible skin regions original image. After segmentation, geometrical shape information maximum complexity eyes faces detect face's position accurately. Experimental results show that proposed approach effectively prevent side effects on caused by light condition, reduce undetected rate, increase...

The image includes much useful information, so it's very important in intelligence traffic system. In this paper, one method of object recognition and location based on binocular stereo vision is introduced. Through dealing with two images what are captured from difference points the ca, system can analyze compute its location, real-time accuracy requirements.

With the advent of software-defined networking, network configuration through programmable interfaces becomes practical, leading to various on-demand opportunities for routing update in multi-tenant datacenters, where tenants have diverse requirements on routings such as short latency, low path inflation, large bandwidth, high reliability, etc. Conventional solutions that rely topology search coupled with an objective function find desired at least two shortcomings: ${\sf (i)}$(i) they run...

Summary Image dehazing technology has attracted much interest in the field of image processing. Most existing methods based on neural networks are inflexible and do not consider loss haze‐related feature space. They sacrificed texture details perceptual characteristics images. To overcome these weaknesses, we propose an image‐to‐image model generative adversarial (DHGAN) with dark channel prior. The DHGAN takes a hazy as input directly outputs haze‐free by applying U‐net‐based generator. In...

Summary Secure mechanisms have been adapted to satisfy the needs of mobile subscribers; however, environment is quite different from a desktop PC or laptop‐based environment. The existing attack patterns in environments are also different, and countermeasures applied should be enhanced. In regards usability, based on mobility, thus, devices designed developed enhance owner's efficiency. To avoid forgetting passwords, people willing adopt simple alphanumeric‐character combinations, which easy...

Recently, intelligent video surveillance system with multiple cameras is a research hotspot due to its wide application. This has many advantages on improving the performance and extending functions. However, taking multi-camera resources data into account, problems also need explore research. The paper designs that fuses tracking information from cameras. use an approach called map-view mapping for camera calibration present fusion strategy fuse data. experiment verified of method, showed...

Influenced by many factors, the variation process of city taxi quantity is nonlinear, grey and random. So, single prediction model can only reflect part information process, its accuracy low. In order to improve accuracy, neural network method put forward based on analysis process. First, GM(1,1) used predict trend quantity; then, BP trained through errors GM(1,1), nonlinear uncertain finally, two results are combined calculate final predicting result. Grey was Nanjing. The experimental...

The traditional underwater video coding has relative high demand of Underwater Acoustic Channel and the scenes are complex instable. To deal with these problems, this paper presents a reconstruction algorithm based on three dimension (3D) tree-structure Bayesian compressive sensing for videos. On encoder side, analog color coded aperture temporal imaging system (CACTI) encodes signal. decoder end, model sensing, by exploiting 3D tree structure wavelet Discrete Cosine Transformation(DCT)...

Multi-beam sonar imaging detection technology is increasingly becoming the mainstream in fields such as hydraulic safety inspection and underwater target due to its ability generate clearer images under low-visibility conditions. However, during multi-beam process, issues low image resolution blurred edges lead decreased segmentation accuracy. Traditional filtering methods for echo signals cannot effectively solve these problems. To address challenges, this paper introduces, first time, a...