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From Level Line Tree to Iso-Tree
Many applications need a hierarchical image representation as a tool for unifying formalism. The level line tree model is such a tool, using a two-tree (the positive and negative level line trees) scheme to represent an image. The two trees differ only ...
IoT Based License Plate Recognition System Using Deep Learning and OpenVINO
Recent advances in artificial intelligence (AI) and computer vision have transformed automatic license plate recognition (ALPR) into an important application for intelligent transportation systems. However, existing algorithms are not directly ...
Crack-SegNet: Surface Crack Detection in Complex Background Using Encoder-Decoder Architecture
Timely and accurate detection of the initiation and expansion of crack is of great significance for improving safe operation of civil infrastructures. Image-based visual surface inspection has been an indispensable way for long-time infrastructure ...
Estimation of The Surface Quality Of Galvanazed Steel: The Method Of Decomposing The Image Into Layers
The aim of the study is to increase the reliability of information on the surface quality of galvanized coiled steel in the automated assessment system. The paper presents examples of images of a surface with defects that are visually close but have a ...
Research on Image Dimensionality Reduction Algorithms
This paper summarizes the principle of the Scale Invariant Feature (SIFT), Principal Component Analysis (PCA), and PCANet. Also, the paper uses IPython to realize the similarity comparison using SIFT and handwriting recognization using PCANet, then ...
DeepLab Network for Meteorological Trough Line Recognition
A meteorological trough line recognition method is proposed in this paper, in which a DeepLab network that adopts an encoder-decoder architecture is utilized to classify each point in the meteorological grid data into two categories: trough point or not,...
Multi-task Command and Control System based on Cloud Architecture
This paper designs a multi-task command and control system based on cloud architecture. It can greatly facilitate the deployment of multiple command and control tasks. The cloud architecture in this system includes virtualized cloud, container cloud, ...
End-to-end Speech Recognition Based on BGRU-CTC
In recent years, the end-to-end speech recognition model has gradually become the development trend of large-scale continuous speech recognition because of its simplicity and easy training characteristics. In this paper, we use the good performance of ...
Implementation and Evaluation of Image Transmission Protocol in Wireless Multimedia Sensor Networks
In wireless multimedia sensor networks (WMSNs), a multimedia sensor node captures an image and sends it to a server via multiple wireless hops. In this process, an image transmission protocol has some stringent requirements such as reliability in data ...
An Optical Tracking System with Defaced Marker Detection
Optical tracking systems (OTSs) have been widely used in clinical practice to fulfill the high precision needs of contemporary surgery. The markers that are defaced in the production or surgery reduce the accuracy and tracking range of OTS. This effect ...
Generic Demosaicking Method for Multispectral Filter Arrays Based on Adaptive Frequency Domain Filtering
Multispectral filter arrays (MSFAs) are widely applied to achieve snapshot multispectral imaging on a single image sensor, which causes incomplete data of each channel in the original captured image, and thus a process of estimating missing data named “...
Indoor Seat Occupancy Classification with Wi-Fi Channel State Information and Machine Learning Methods
Keeping a distance by monitoring the seat occupancy is an essential way to prevent the spread of virus inside a room. However, most current human sensing methods need customized devices, so a cheaper way of indoor seat occupancy classification is in ...