Showing 741 - 760 results of 821 for search '"image processing"', query time: 0.07s Refine Results
  1. 741
  2. 742

    Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery by Kylen Van Osch, Daniel Allen, Bradley Gare, Thomas J. Hudson, Hanif Ladak, Sumit K. Agrawal

    Published 2019-01-01
    “…The secondary objective was to create a statistical shape model (SSM) of a dominant and non-dominant sigmoid sinus (SS) to provide a template for automated segmentation algorithms. Methods A free image processing software, 3D Slicer, was utilized to create three-dimensional reconstructions of the SS, jugular bulb (JB), facial nerve (FN), and external auditory canal (EAC) from micro-CT scans. …”
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    Article
  3. 743

    A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

    Published 2025-01-01
    “…The application potential of unmanned aerial vehicles (UAVs) in marine search and rescue is especially of concern for the ongoing advancement of visual recognition technology and image processing technology. Limited computing resources, insufficient pixel representation for small objects in high-altitude images, and challenging visibility conditions hinder UAVs’ target recognition performance in maritime search and rescue operations, highlighting the need for further optimization and enhancement. …”
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    Article
  4. 744

    STLNet: Symmetric Transformer Learning Network for Remote Sensing Image Change Detection by Liye Mei, Andong Huang, Zhaoyi Ye, Yaxiaer Yalikun, Ying Wang, Chuan Xu, Wei Yang, Xinghua Li

    Published 2025-01-01
    “…Change detection (CD) signifies a pivotal domain within remote sensing image processing. The transformer has been introduced in the field of CD for its global perception capabilities. …”
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    Article
  5. 745

    Klasifikasi Tenun Timor Menggunakan Metode SVM Berdasarkan Speeded Up Robust Features by Yoseph P.K. Kelen, Budiman Baso

    Published 2023-12-01
    “…Abstract This research was conducted as an effort to preserve Timor woven fabrics in the field of information technology, especially in the field of digital image processing, namely pattern recognition which is a solution to recognize weaving images automatically. …”
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    Article
  6. 746

    Zoning of the reaction of the tissues of the implantation area after prosthetic repair in abdominal hernias in experiment by E. E. Lukoyanychev, S. G. Izmailov, D. A. Evsyukov, V. O. Nikolskij, A. A. Mironov, A. V. Panyushkin

    Published 2022-12-01
    “…Development of criteria for evaluating the reaction of tissues in the implantation area after prosthetic repair of the hernia ring in an experiment using new digital image processing technologies.Materials and methods. The experiment was carried out on 13 Wistar rats of different sexes. …”
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    Article
  7. 747

    Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

    Published 2024-12-01
    “…Abstract Facial expression recognition is a significant challenge in image processing and human-computer interaction due to its inherent complexity and variability. …”
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    Article
  8. 748
  9. 749

    Segmentasi Citra Wajah dengan Implementasi Adaptif Threshold- Integral Image by Maryam Ummul Habibah, Muchamad Kurniawan

    Published 2021-10-01
    “…Abstract Face segmentation is an important in digital image processing to find out the object's face in the image before detecting facial expressions. …”
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    Article
  10. 750

    Sistem Object Tracking pada Quadcopter Menggunakan Segmentasi Citra dengan Deteksi Warna HSV dan Metode Regresi Linier Berbasis Raspberry Pi by Fahmi Erza, Hurriyatul Fitriyah, Eko Setiawan

    Published 2022-12-01
    “…The color of the hat will be used as references for the color segmentation threshold to detect the hat object with digital image processing. The movement of the drone is determined by the prediction of the distance, angle, and height of the object based on linear regression generated from 123 training data. …”
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    Article
  11. 751
  12. 752

    Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

    Published 2024-01-01
    “…The synopsis of the literature provides a thorough examination of several DL and digital image processing methods used in the identification of cancer, with a primary emphasis on lung and colon cancer. …”
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    Article
  13. 753

    Brain Age Prediction Using a Lightweight Convolutional Neural Network by Fatma Eltashani, Mario Parreno-Centeno, James H. Cole, Joao Paulo Papa, Fumie Costen

    Published 2025-01-01
    “…Much interest has recently been drawn to brain age prediction due to the significant development in machine learning and image processing techniques. Studies based on brain magnetic resonance images showed a strong relationship between the brain ageing process and accelerated brain atrophy, suggesting using brain age prediction models for early diagnosis of neurodegenerative disorders, such as Parkinson’s, Schizophrenia, and Alzheimer’s disease. …”
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  14. 754

    Frequency multiplexed photothermal correlation tomography for non-destructive evaluation of manufactured materials by Pengfei Zhu, Rongbang Wang, Koneswaran Sivagurunathan, Stefano Sfarra, Fabrizio Sarasini, Clemente Ibarra-Castanedo, Xavier Maldague, Hai Zhang, Andreas Mandelis

    Published 2025-01-01
    “…By combining advantages of photothermal tomography and pulsed thermography, FM-PCT facilitates the generation of three-dimensional thermal images through temporal superposition (stacking) of two-dimensional images from sequential subsurface depths. FM-PCT image processing involves pulsed excitation signals to which frequency delay and matched filtering techniques are applied. …”
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    Article
  15. 755

    Automated Recipe Generation AI Tool from Food Images using Machine Learning. Approach for Ingredient Extraction and Cooking Instructions by Lwamaza, Eddy, Nuwasiima, Happy

    Published 2025
    “…Additionally, it examines image processing techniques used in recipe generation AI tools, sourced from reputable platforms such as Google Scholar and IEEE. …”
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    Thesis
  16. 756

    Pengembangan Automated Image Analysis untuk Menentukan Jumlah Bakteri Tahan Asam (BTA) pada Kasus Tubercolosis by Safri Adam, Puji Astuti, Puspa Amalia, Fadli Sukandiarsyah

    Published 2022-08-01
    “…The method for digital image processing is the HCA (Hiearcical Cluster Analysis) segmentation method to separate BTA objects from the background. …”
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    Article
  17. 757

    Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis by Huiyi Zuo, Baoyu Huang, Jian He, Liying Fang, Minli Huang

    Published 2025-01-01
    “…DL can be used as a potential method for intelligent image processing and intelligent recognition, and intelligent examination tools can be developed in subsequent research to provide help for areas where medical resources are scarce. …”
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    Article
  18. 758

    Identifikasi Jenis Biji Kedelai (Glycine Max L) Menggunakan Gray Level Coocurance Matrix (GLCM) dan K-Means Clustering by Rahmat Robi Waliyansyah

    Published 2020-02-01
    “…Applications made using digital image processing, while the segmentation used is the Image L * a * b and K-Means Clustering. …”
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    Article
  19. 759

    Image-based analysis of quantitative morphological characteristics of wild potato tubers using the desktop application SeedСounter by K. A. Ivanova, E. G. Komyshev, M. A. Genaev, A. A. Egorova, K. A. Koloshina, N. A. Chalaya, D. A. Afonnikov, A. V. Kochetov, E. V. Rogozina, S. V. Gerasimova

    Published 2019-08-01
    “…The current study is devoted to evaluation of wild potato tubers’ morphological characteristics using a digital image processing technique. For this purpose, the mobile application SeedSounter developed previously for grain analysis was specifically adapted for tuber phenotyping. …”
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    Article
  20. 760

    A Study of Real-time Detection Methods for Solar Radio Burst Identification by YongLin Yu, ChengLong Qiao, Shuo Xu, QinZheng Li, YanRui Su, HongQiang Song, FaBao Yan

    Published 2025-01-01
    “…Spectrum analysis conducted manually or with traditional image processing algorithms is limited by low efficiency and accuracy. …”
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    Article