Innovative segmentation technique for aerial power lines via amplitude stretching transform by Pengfei Xu, Nor Anis Asma Sulaiman, Yafei Ding, Jiangwei Zhao

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Evaluation Performance of Ultrasonic Testing on Fruit Quality Determination by Fikret Yildiz, Ahmet Turan Özdemir, Selman Uluışık

“…Visual appearance (size/volume) was determined using a machine vision system based on image processing techniques. …”
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Side information-driven image coding for hybrid machine–human vision by Zhongpeng Zhang, Ying Liu, Wen-Hsiao Peng

“…After the image codec compresses and transmits the image, the image will be handed over to machine vision task networks. These vision tasks include image classification, semantic segmentation, and so on. …”
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Age group classification based on optical measurement of brain pulsation using machine learning by Martti Ilvesmäki, Hany Ferdinando, Kai Noponen, Tapio Seppänen, Vesa Korhonen, Vesa Kiviniemi, Teemu Myllylä

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Advanced Driver-Assistance System (ADAS) for Intelligent Transportation Based on the Recognition of Traffic Cones by Liyong Wang, Peng Sun, Min Xie, Shaobo Ma, Boxiong Li, Yuchen Shi, Qinghua Su

“…Great changes have taken place in automation and machine vision technology in recent years. Meanwhile, the demands for driving safety, efficiency, and intelligence have also increased significantly. …”
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Indifferentiable hash functions in the standard model by Juha Partala

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Symmetric Blind Decryption with Perfect Secrecy by Juha Partala

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Hardware Architecture for Real-Time Computation of Image Component Feature Descriptors on a FPGA by Abdul Waheed Malik, Benny Thörnberg, Muhammad Imran, Najeem Lawal

“…These descriptors are object related properties used to describe each image component. Embedded machine vision systems demand a robust performance and power efficiency as well as minimum area utilization, depending on the deployed application. …”
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A Real-Time Apple Grading System Using Multicolor Space by Hayrettin Toylan, Hilmi Kuscu

“…In the study, a real-time machine vision system classifying apples into four categories with respect to color and size was designed. …”
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Research on Energy Efficiency Management of Forklift Based on Improved YOLOv5 Algorithm by Zhenyu Li, Ke Lu, Yanhui Zhang, Zongwei Li, Jia-Bao Liu

“…However, due to the rapid increase in the types and quantities of goods, item statistics have become a major bottleneck in production. Based on machine vision, the paper proposes a method to count the amount of goods loaded and unloaded within the working time limit to analyze the efficiency of the forklift. …”
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MATHEMATICAL MODEL OF THE BIOTECHNIC SYSTEM CONTROLLED BY THE SYSTEM OF ANIMAL SYSTEM ON THE EXAMPLE OF INFRARED IRRADIATION OF PIG-REMOVAL by L. S. Gerasimovich, A. N. Kosko, A. V. Sinenkii

“…This article proposes a model biotechnical system and exposure control algorithm on the behavior of piglets using machine vision technology. The effective temperature of the indoor air is an indirect indicator of the favourable conditions for keeping animals. …”
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Dual Convolution Neural Networks of Ensemble Learning with Attention Mechanism for Rice Classification by Cheng Linfeng

“…Machine vision has been widely applied across fields. …”
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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…Traditional CNNs handle image segmentation well, but transformers excel at capturing long-range dependencies, essential for machine vision tasks. Our study introduces MoNetViT (Mini-MobileNet MobileViT), a lightweight model combining CNNs and MobileViT in a dual-path encoder to optimize global and spatial image details. …”
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Human Pose Recognition Based on Depth Image Multifeature Fusion by Haikuan Wang, Feixiang Zhou, Wenju Zhou, Ling Chen

“…The recognition of human pose based on machine vision usually results in a low recognition rate, low robustness, and low operating efficiency. …”
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Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

“…To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. …”
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Fast Mumford-Shah Two-Phase Image Segmentation Using Proximal Splitting Scheme by Nilima Shah, Dhanesh Patel, Pasi Fränti

“…A crucial step in the design of machine vision systems is the extraction of discriminant features from the images, which is based on low-level segmentation which can be obtained by our approach.…”
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Efficient Detection of Occlusion prior to Robust Face Recognition by Rui Min, Abdenour Hadid, Jean-Luc Dugelay

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Positioning of the Moving and Static Contacts of the Switch Machine Based on Double-Layer Mask R-CNN by Jiacheng Yin, Zhaomin Lv, Xingjie Chen, Kun Yang

“…The measurement of contact depth based on machine vision includes two steps: moving and static contact positioning and distance conversion. …”
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Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near-Infrared Spectroscopy by Chao Ni, Yun Zhang, Dongyi Wang

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Enhancing Accuracy and Precision in Omni-Angle Edge-Based Modulation Transfer Function Measurements by Kenichiro Masaoka

“…The accuracy and precision of the proposed method were demonstrated through computer simulations using synthesized edge images and through actual measurements with a machine vision camera. Implementing the Omni-sine method does not affect the real-time nature of the edge-based measurement and facilitates MTF anisotropy measurements using multiple nonrectangular ROIs with slanted starburst charts.…”
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