Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares by Yongze Li, Jin Ma, Dongyang Fu, Jiajun Yuan, Dazhao Liu

“…WLS filtering precisely processes high-frequency noise and edge details in images using an adaptive weighting matrix, significantly improving the edge clarity and overall quality of mangrove images. …”
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Target recognition in diverse synthetic aperture radar image datasets with low size weight and power processing hardware by Richard O. Lane, Wendy J. Holmes, Timothy Lamont‐Smith

“…We describe a process to merge measured environmental SAR scene images with target image chips to produce a large dataset for training deep learning algorithms. …”
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Interior Radiation Noise Reduction Method Based on Multiframe Processing in Infrared Focal Plane Arrays Imaging System by Yiyang Li, Weiqi Jin, Zhihao Liu

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A Method of the Vibration Information Detection for Rotating Machinery Based on the Rolling-Shutter CMOS and Digital Image Processing by Yonggong Yuan, Ji Zhang, Nanwangdi Li, Haifeng Wang, Yuxin Hu, Yilong Wang, Ning Mei, Han Yuan

“…This method integrates the imaging characteristics of rolling shutter CMOS with digital image processing technology to significantly increase the sampling frequency of one-dimensional horizontal vibration information for low-cost cameras. …”
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Shearlet‐based compressed sensing with non‐local similarity for MRI breast image reconstruction by Xiaotao Shao, Caike Wei, Yi Xie, Zhongli Wang, Yan Shen

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OS-PSO: A Modified Ratio of Exponentially Weighted Averages-Based Optical and SAR Image Registration by Hui Zhang, Yu Song, Jingfang Hu, Yansheng Li, Yang Li, Guowei Gao

“…Optical and synthetic aperture radar (SAR) images exhibit non-negligible intensity differences due to their unique imaging mechanisms, which makes it difficult for classical SIFT-based algorithms to obtain sufficiently correct correspondences when processing the registration of these two types of images. …”
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Advanced Self-Driving Vehicle Model for Complex Road Navigation Using Integrated Image Processing and Sensor Fusion by Kalapraveen Bagadi, Naveen Kumar Vaegae, Visalakshi Annepu, Khaled Rabie, Shafiq Ahmad, Thokozani Shongwe

“…The model integrates state-of-the-art image processing techniques with advanced sensor fusion, utilizing EfficientDet D0 and Haar Cascade object detection models to identify obstacles, road signs, and traffic signals accurately. …”
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Improving Bimonthly Landscape Monitoring in Morocco, North Africa, by Integrating Machine Learning with GRASS GIS by Polina Lemenkova

“…This study contributes to environmental monitoring in North Africa using ML algorithms of satellite image processing. Using RS data combined with the powerful functionality of the GRASS GIS and FAO-derived datasets, the topographic variability, moderate-scale habitat heterogeneity, and bimonthly distribution of land cover types of northern Morocco in 2023 have been assessed for the first time.…”
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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…In addition, to reduce the dependence on manually labeled data, an unsupervised cooperative segmentation algorithm is proposed, which realizes automatic image semantic segmentation through the segmentation process from superpixel to block and then to object. …”
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Blur Feature Extraction Plus Automatic KNN Matting: A Novel Two Stage Blur Region Detection Method for Local Motion Blurred Images by Minghua Zhao, Dan Li, Zhenghao Shi, Shuangli Du, Peng Li, Jing Hu

“…To deal with the serious visual artifacts caused by the consistent restoration algorithm on local motion blurred images, a novel two stage blur region detection method including coarse location and region refinement for local blurred images is proposed in this paper. …”
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Extraction and Recognition of Color Feature in true Color Images Using Neural Network Based on Colored Histogram Technique by Orjuwan Aljawadi

“…In this research, a neural network using backpropagation (BPNN) algorithm was trained and learned to work as the cone cells in human eyes to recognize the three fundamental cells’ colors and hues, as the neural network showed good results in training and testing the color feature  it was trained and learned again to recognize two nature scenes images ; Red sunset and Blue sky images where both scenes images contain color interaction and different hues such as red-orange and blue-violet. …”
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Design of a Non-Destructive Seed Counting Instrument for Rapeseed Pods Based on Transmission Imaging by Shengyong Xu, Rongsheng Xu, Pan Ma, Zhenhao Huang, Shaodong Wang, Zhe Yang, Qingxi Liao

“…This study aims to develop a semi-automatic counting instrument based on transmission image processing and proposes a new algorithm for processing transmission images of pods to achieve non-destructive, accurate, and rapid determination of the seed count per pod. …”
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Implementation of Chaotic Synchronization and Artificial Neural Networks in Modified OTP Scheme for Image Encryption by Hristina Stoycheva, Georgi Mihalev, Stanimir Sadinov, Krasen Angelov

“…This paper presents a modified image encryption scheme based on the OTP (One-Time Pad) algorithm, consisting of chaotic synchronization and artificial neural networks (ANNs) for improved security and efficiency. …”
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Stratified Object-Oriented Image Classification Based on Remote Sensing Image Scene Division by Wen Zhou, Dongping Ming, Lu Xu, Hanqing Bao, Min Wang

“…This method firstly uses middle semantic which can reflect an image’s visual complexity to classify the remote sensing image into different scenes, and then within each scene, an improved grid search algorithm is employed to optimize the segmentation result of each scene, so that the optimal scale can be utmostly adopted for each scene. …”
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Classification of Solar Cells EL Images with Different Busbars Via Deep Learning Models by Miktat Aktaş, İbrahim Türkoğlu, Ferdi Doğan

“…Autonomous systems are important to accelerate the process. Classical image processing techniques are used to manually detect defects on cells. …”
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Automated Tomato Leaf Disease Detection Using Image Processing: An SVM-Based Approach with GLCM and SIFT Features by Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang

“…To support specialists in accurately identifying and managing these diseases, we propose an advanced automatic system for detecting and identifying tomato leaf diseases using sophisticated image processing techniques. Therefore, we proposed an approach that employs robust feature extraction methods, including the gray level co-occurrence matrix (GLCM) and scale-invariant feature transform (SIFT), coupled with a support vector machine (SVM) for adequate classification. …”
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A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning by Aleksander Radovan, Leo Mršić, Goran Đambić, Branko Mihaljević

“…This paper provides a comprehensive review of current methodologies and technologies used for passenger counting, without the actual implementation of the automatic passenger counting system (APC), but with a proposal based on image processing and machine learning techniques and concepts, since it represents one of the most used approaches. …”
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Multi-Target Vehicle Tracking Algorithm Based on Improved DeepSORT by Dudu Guo, Zhuzhou Li, Hongbo Shuai, Fei Zhou

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A novel algorithm identifies stress-induced alterations in mitochondrial connectivity and inner membrane structure from confocal images. by Mathieu Ouellet, Gérald Guillebaud, Valerie Gervais, David Lupien St-Pierre, Marc Germain

“…As cristae rearrangements play a critical role in metabolic regulation and cell survival, this provides a rapid method to screen for proteins or compounds affecting this process. The algorithm will thus provide a robust tool to dissect the molecular mechanisms underlying the key roles of mitochondria in the regulation of cell fate.…”
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Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images by Khaled Tarmissi, Jamal Alsamri, Mashael Maashi, Mashael M. Asiri, Abdulsamad Ebrahim Yahya, Abdulwhab Alkharashi, Monir Abdullah, Marwa Obayya

“…To achieve this, the presented MTLSO-BMCC method initially performs image preprocessing using a median filter (MF) for noise removal. …”
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