Traffic State Recognition of Intersection Based on Image Model and PCA Hashing by Li-li Zhang, Li Wang, Qi Zhao

“…To this end, we construct an image model for intersections and implement image feature extraction in a way that is different from traditional image processing. Then, the traffic state recognition problem at the intersection is translated into an image searching problem with tags. …”
Get full text

Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review by J. M. Barbosa, E. N. Broadbent, M. D. Bitencourt

“…New remote sensing methods, including sensors, image processing, statistical methods, and uncertainty evaluations, are constantly being developed to estimate biophysical forest changes. …”
Get full text

Implementation of Membrane Algorithms on GPU by Xingyi Zhang, Bangju Wang, Zhuanlian Ding, Jin Tang, Juanjuan He

Get full text

Human-Machine Interface for a Smart Wheelchair by Amiel Hartman, Vidya K. Nandikolla

“…Multiple cameras are used for image processing and scanning laser rangefinder sensors for obstacle avoidance in the cluster program. …”
Get full text

Meso-Experimental Study on Tensile Characteristics of Clay by Yi Zhou, Meng Cui, Dequan Zhou, Xiaojia Wang, Xiao Fu

“…The testing system designed in this paper includes a tensile loading device, an image acquisition device, and an image processing program, which can collect and process the meso-structural images of the soil sample and predict the location of tensile fracture zone with a small preloading. …”
Get full text

SED-YOLO based multi-scale attention for small object detection in remote sensing by Xiaotan Wei, Zhensong Li, Yutong Wang

“…Abstract Object detection is crucial for remote sensing image processing, yet the detection of small objects remains highly challenging due to factors such as image noise and cluttered backgrounds. …”
Get full text

Analysis of Seed Vigor Using the Biospeckle Laser Technique by Roberto A. Braga, José Luís Contado, Karina Renostro Ducatti, Edvaldo A. Amaral da Silva

“…It delves into the experimental setup for seed illumination and discusses the associated image processing methods. Furthermore, the paper examines the numerical and graphical outcomes, underscoring the BSL technique’s ability to carry out seed analysis by addressing the limitations of traditional methods and enhancing efficiency in the agricultural sector.…”
Get full text

Digital Image Forensic Approach to Counter the JPEG Anti-Forensic Attacks by Amit Kumar, Gurinder Singh, Ankush Kansal, Kulbir Singh

“…Rapid advancement in digital image processing tools and software’s has made it extremely simple to manipulate the digital images without leaving any footprints. …”
Get full text

Use of Landsat Land Surface Temperature and Vegetation Indices for Monitoring Drought in the Salt Lake Basin Area, Turkey by Osman Orhan, Semih Ekercin, Filiz Dadaser-Celik

“…Normalized vegetation index (NDVI), vegetation condition index (VCI), and temperature vegetation index (TVX) were used for evaluating drought impact over the region between 1984 and 2011. In the image processing step, geometric and radiometric correction procedures were conducted to make satellite remote sensing data comparable with in situ measurements carried out using thermal infrared thermometer supported by hand-held GPS. …”
Get full text

A new -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault by Hongchao Wang, Wenliao Du

“…K -means singular value decomposition is a classical self-learning over-complete dictionary method and has been used in image processing, speech processing, and vibration signal processing. …”
Get full text

Bone Mineral Density Prediction from CT Image: A Novel Approach using ANN by S. L. Resmi, V. Hashim, Jesna Mohammed, P. N. Dileep

“…In this approach, the BMD is predicted using clinical CT scan images taken for other indications based on image processing and artificial neural network (ANN). The network used in this study is a standard backpropagation neural network having five input neurons with one hidden layer having 40 neurons with a tan-sigmoidal activation function. …”
Get full text

An Improved Method for Quantifying Liquid Saturation Using Transparent Soil by Juan Wang, Wei Liu, Wenwu Chen, Xuebin Ran, Yanfang Zhang, Gaochao Lin

“…Transparent porous media combined with digital image processing technology can be used to quantify the saturation of local fluids. …”
Get full text

Effects of aluminum and copper on the graphite morphology, microstructure, and compressive properties of ductile iron by Sazegaran H., Teimoori F., Rastegarian H., Naserian-Nik A.M.

“…The graphite morphology and microstructure were evaluated using optical microscopy (OM) and scanning electron microscopy (SEM) equipped image processing software. To study the mechanical properties, the compression test was conducted on the ductile iron specimens. …”
Get full text

Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms by Yeliz Karaca, Carlo Cattani, Majaz Moonis, Şengül Bayrak

“…Multifractal denoising techniques capture interest in biomedicine, economy, and signal and image processing. Regarding stroke data there are subtle details not easily detectable by eye physicians. …”
Get full text

Exploration of Flood Prediction in Watersheds Based on the Fusion Analysis of Remote Sensing Big Data with Multiple Physical Fields by Minming Xu, Yun Ouyang

“…This paper introduces the application of remote sensing in flood control field, proposes the framework of basin flood prediction based on multiphysics field remote sensing big data fusion analysis, and designs each functional module of the system according to the object-oriented idea to realize the functions of data management, image processing, spatial analysis, and simulation output. …”
Get full text

Machine vision model for drip leakage detection of pipeline. by Cong Xiao, Yiyuan Zhou, Yanwen Wu, Guodong Zhang

“…The system designed to collect the image of the droplet side cross-section with a Charge charge-coupled device (CCD) industrial camera, is aided by the computer image processing system used to analyze and process the collected images. …”
Get full text

A New Local Optimal Spline Wavelet for Image Edge Detection by Dujuan Zhou, Zizhao Yuan, Zhanchuan Cai, Defu Zhu, Xiaojing Shen

“…Wavelet-based edge detection methods have evolved significantly over the years, contributing to advances in image processing, computer vision, and pattern recognition. …”
Get full text

Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…The aim of the work is to reduce the computational complexity of adaptive equalization and compression of infrared image histograms while reducing their dynamic range.Methods. Image processing methods are used.Results. To reduce the computational complexity of transforming the dynamic range of infrared images, a block-priority modification of the adaptive histogram equalization method is proposed. …”
Get full text

Optimized sequential model for superior classification of plant disease by Yogesh Chimate, Sangram Patil, K. Prathapan, Jaydeep Patil, Jayendra Khot

“…Our research, conducted on mango and groundnut leaves collected during field visits in western Maharashtra and supplemented by online datasets, demonstrates a CNN model that achieves an impressive 96% accuracy as compared to machine learning techniques that follow tedious feature extraction. Furthermore, image processing contributes to enhancing the dataset through normalization, resizing, and augmentation for better classification results. …”
Get full text

Ferrography Wear Particles Image Recognition Based on Extreme Learning Machine by Qiong Li, Tingting Zhao, Lingchao Zhang, Wenhui Sun, Xi Zhao

“…With the rapid development of computer image processing technology, neural network based on traditional gradient training algorithm can be used to recognize them. …”
Get full text