Identification of Eye Diseases Through Deep Learning by Elena Acevedo, Dinora Orantes, Marco Acevedo, Ricardo Carreño

“…<b>Methods</b>: This work describes digital image processing techniques for the easier handling of eye images; in particular, blur filters were used. …”
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A New Method for Iris Segmentation and Feature Extraction in Spatial Domain by Dujan Taha, Shamil Ibraheem

“…Finally, Matlab R2010a (Ver. 7.10.0) was used to implement the algorithms presented in this paper because it facilitates handling images, arrays, and filters.…”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…To accomplish this task, we use digital image processing techniques and then apply the convolutional neural network (CNN) deep learning algorithm to blood sample images. …”
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SP-Pillars: An Efficient LiDAR 3D Objects Detection Framework With Multi-Scale Feature Perception and Optimization by Tingshuai Chen, Ye Yuan, Bingyang Yin, Yuanhong Liao

“…The experimental evaluation results on the KITTI dataset indicate that the proposed algorithm is reliable and effective. Compared with other related algorithms, this algorithm exhibits excellent detection performance, slightly improving detection speed while maintaining high accuracy, meeting the requirements of real-time processing, and has important application value in optimizing autonomous driving technology.…”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This approach incorporates advanced image processing techniques to analyze video sequences captured by the industrial camera. …”
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Morphological characterization of Mycobacterium tuberculosis in a MODS culture for an automatic diagnostics through pattern recognition. by Alicia Alva, Fredy Aquino, Robert H Gilman, Carlos Olivares, David Requena, Andrés H Gutiérrez, Luz Caviedes, Jorge Coronel, Sandra Larson, Patricia Sheen, David A J Moore, Mirko Zimic

“…The algorithm using image processing, feature extraction and pattern recognition determined geometrical and illumination features used in an object-model and a photo-model to classify TB-positive images. 765 MODS digital photos were processed. …”
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System Architecture for Real-Time Face Detection on Analog Video Camera by Mooseop Kim, Deokgyu Lee, Ki-Young Kim

“…A detailed structure of system elements for image scale, integral image generator, and pipelined classifier that purposed to optimize the efficiency between the processing speed and the hardware resources is presented. …”
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Automated quantitative analysis of coat and skin coloration in laboratory animals by V. A. Prikhodko, U. V. Nogaeva, D. Yu. Ivkin, S. V. Okovityi

“…The algorithm does not require the use of specialized software, is fast and straightforward, and can be employed for batch image processing to obtain quantitative data for further statistical analysis.…”
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Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

“…In the last 10 years there has been a revolu on in the fi eld of computer image analysis and pa ern recogni on. Modern algorithms of computer vision equaled and even in some problems surpassed human capabili es. …”
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Hybrid Energy Management of Solid Oxide Fuel Cell/Lithium Battery System by Dong Li, Xiaobo Zhong, Yuanwu Xu, Chongyang Wei, Song Zhao, Jianhua Jiang, Zhonghua Deng, Xiaowei Fu, Xi Li

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The System Research and Implementation for Autorecognition of the Ship Draft via the UAV by Wei Zhan, Shengbing Hong, Yong Sun, Chenguang Zhu

“…In order to solve the above problems, this paper introduces the computer image processing technology based on deep learning, and the specific process is divided into three steps: first, the video sampling is carried out by the UAV to obtain a large number of pictures of the ship draft reading face, and the images are preprocessed; then, the deep learning target detection algorithm of improved YOLOv3 is used to process the images to predict the position of the waterline and identify the draft characters; finally, the prediction results are analyzed and processed to obtain the final reading results. …”
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USING THE KARHUNEN-LOÈVE TRANSFORM TO SUPPRESS GROUND ROLL IN SEISMIC DATA by Kazmierczak Thaís de Souza, Castillo López Luís, Gómez Londoño Ernesto

“…The K-L Transform is well known in other fields as image processing (Levy and Linderbaurn, 2000), face, iris and fingerprint identification. …”
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Power Efficient Clustering for Wireless Multimedia Sensor Network by Seng-Kyoun Jo, Muhammad Ikram, Ilgu Jung, Won Ryu, Jinsul Kim

“…We propose a resource and energy efficient distributed image compression algorithm that dynamically configures according to the energy levels and the forwarding strategy that is based on the entropy of the image. …”
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AI powered detection and assessment of onychomycosis: A spotlight on yellow and deep learning by C. Agostini, R. Ranjan, M. Molnarova, A. Hadzic, O. Kubesch, V. Schnidar, H. Schnidar

“…Results Using advanced machine learning algorithms, we successfully detected toenails, enabling detailed analysis of intricate structures within the images. …”
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Detection of Potentially Anomalous Cosmic Particle Tracks Acquired with CMOS Sensors: Validation of Rough k–Means Clustering with PCA Feature Extraction by Hachaj Tomasz, Piekarczyk Marcin, Wąs Jarosław

“…The results included in this work are very relevant to the international CREDO project and the broader problem of anomaly analysis in image data sets. We plan to deploy the presented methodology in the image processing pipeline of the large data set we are working on in the CREDO project. …”
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Application of Motion Video Analysis System Based on SISA Neural Network in Sports Training by Shishun Ge, Chunhong Zhu

“…This paper proposes the study of motion video image classification and recognition, extracts the motion target image features, designs the image classification process, and establishes the neural network image classification model to complete the image recognition. …”
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Wireless Multimedia Sensor Network Based Subway Tunnel Crack Detection Method by Bo Shen, Wen-Yu Zhang, Da-Peng Qi, Xiao-Yang Wu

“…We also designed a fast, easy to implement fracture identification and detection image processing algorithm that can solve the image identification and detection problem. …”
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Experience in Documenting and Visualizing Small Artifacts: a case study of Palmyrene tesserae from the Pushkin State Museum of fine arts collection by Maria G. Bodrova, Alexey K. Lyavdansky

“…The objects of study are tesserae with shallow impressions and signs of wear, which required the use of macro photography and specialized image processing algorithms to achieve high detail. …”
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Hand segmentation pipeline from depth map: an integrated approach of histogram threshold selection and shallow CNN classification by Zhengze Xu, Wenjun Zhang

“…We propose a new approach which is a three-stage pipeline to fast and accurate segment hand from a single depth image. Firstly, a depth frame is segmented into several regions by histogram-based thresholds selection algorithm and tracing the exterior boundaries of objects. …”
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Design of a Visual Communication System for Animated Characters in Virtual Reality Using Sobel Edge Detection and Motion Capture by Zhengyu Yang

“…Through three main design processes-target optimization, graphic image restructuring, and refinement-the system enhances the impact of graphic image processing in visual communication design by integrating image processing, visual image processing, and text processing technologies. …”
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