Search Results - (( image classification parallel algorithm ) OR ( basic visualisation using algorithm ))

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  1. 1

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…The low-level features such as edges, blobs, and ridges were extracted for grouping and classification. Object recognition and image classification comes after the wavelet transform. …”
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    Final Year Project / Dissertation / Thesis
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    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

    Published 2016
    “…Parallel imaging is a robust method for accelerating the data acquisition in Magnetic Resonance Imaging (MRI). …”
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    Thesis
  4. 4

    Combining deep and handcrafted image features for MRI brain scan classification by Hasan, Ali M., Jalab, Hamid A., Meziane, Farid, Kahtan, Hasan, Al-Ahmad, Ahmad Salah

    Published 2019
    “…More recently, the application of deep learning algorithms to medical imaging leads to impressive performance enhancements in classifying and diagnosing complicated pathologies, such as brain tumors. …”
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    Article
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    Robust partitioning and indexing for iris biometric database based on local features by Khalaf, Emad Taha, Mohammed, Muamer N., Kohbalan, Moorthy

    Published 2018
    “…The proposed method combines three transformation methods DCT, DWT and SVD to analyse iris images and extract their local features. Further, the scalable K-means++ algorithm is used for partitioning and classification processes, and an efficient parallel technique that divides the features groups causing the formation of two b-trees based on index keys is applied for search and retrieval. …”
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    Article
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    Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors by Yew , Tze Ee

    Published 2016
    “…KNCN is a type of classification technique in image processing which involves calculation of centroid and sorting of K-nearest centroid neighbors. …”
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    Thesis
  9. 9

    Composing multi-relations association rules from crowdsourcing remuneration data by Siti Salwa Salleh, Nurhayati Zakaria, Norjansalika Janom, Syaripah Ruzaini Syed Aris, Noor Habibah Arshad

    Published 2022
    “…To gain a more understandable insight, the data relationship is visualised using an alluvial chart that manages to illustrate the flow. …”
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    Article
  10. 10

    Square patch feature based face detection architecture for high resolution smart camera by Mohd Mustafah, Yasir, Bigdeli, Abbas, Azman, Amelia Wong, Lovell, Brian

    Published 2010
    “…From The simulation result shows that the proposed face detection architecture could speed up the equivalent software based face detector up to 12 times. Parallelizing the feature classification modules could improve the performance further.…”
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    Proceeding Paper
  11. 11

    Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space by Annisa, Jamali, Sheldon Ijau, Winston

    Published 2022
    “…In this study, an axis manipulation using a geometrical approach is used. Initially, a general algorithm for a 2-m-link hyper-redundant robot in 3D is generated. …”
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    Article
  12. 12

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…The first stage is preprocessing procedure that combines the thresholding and filtering algorithm for pre processing the MRI images while the second stage contains two phases of main processing techniques of enhancement and segmentation. …”
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    Book Section
  13. 13

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…The first stage is preprocessing procedure that combines the thresholding and filtering algorithm for pre processing the MRI images while the second stage contains two phases of main processing techniques of enhancement and segmentation. …”
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    Thesis