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  1. 1

    A block-based multi-scale background extraction algorithm by Davarpanah, Seyed Hashem, Khalid, Fatimah, Golchin, Maryam

    Published 2010
    “…Approach: In this study, to extract an adaptive background, a combination of blocking and multi-scale methods is presented. …”
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    Article
  2. 2

    A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically by Sulaiman, Puteri Suhaiza, O. K. Rahmat, Rahmita Wirza, Mahmod, Ramlan, Abdul Rashid, Abdul Hamid

    Published 2008
    “…The liver level set (LLS) is separated into two stages which a pre-processing stage and a level set with a hybrid energy minimization algorithm. The current slice is initialized by previous segmented liver boundary allowing changes in liver boundary topological changes to be inherited. …”
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    Article
  3. 3

    Automatic Road Network Recognition and Extraction for Urban Planning by Bong, David B L, Lai, K.C., Joseph, A.

    Published 2009
    “…The extracted road regions are validated by using a segmentation method. …”
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    Article
  4. 4

    SUDOKU HELPER by Abdul Razak, Muhammad Asyraf

    Published 2015
    “…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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    Final Year Project
  5. 5

    Crow Search Freeman Chain Code (CS-FCC) feature extraction algorithm for handwritten character recognition by Muhammad Arif, Mohamad, Zalili, Musa, Amelia Ritahani, Ismail

    Published 2023
    “…In this research, a Crow Search Algorithm (CSA)-based metaheuristic strategy for feature extraction in HCR was developed. …”
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    Conference or Workshop Item
  6. 6

    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments by Abdulhussain, Sadiq H.

    Published 2018
    “…The performance of the proposed algorithm is compared to that of several state-of-the-art TVS algorithms. …”
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    Thesis
  7. 7

    Performance analysis of PSO MPPT for photovoltaic (PV) system during irradiance changes / Kharismi Burhanudin by Burhanudin, Kharismi

    Published 2018
    “…The study focus on extracting maximum power from the PV panel based on the change in solar irradiance absorbed by the PV panel. …”
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    Thesis
  8. 8

    Thermal Image Analysis of Holistic based Treatment by Ahmad, Solihin Khaiessa

    Published 2017
    “…Seed-point region growing method is useful for extracting informations from thermal images analysis. …”
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    Final Year Project
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    River segmentation using satellite image contextual information and Bayesian classifier by Yousefi, Paria, Jalab, Hamid Abdullah, Ibrahim, R.W., Mohd Noor, Nurul Fazmidar, Ayub, M.N., Gani, Abdullah

    Published 2016
    “…This paper presents a new method of extracting rivers by using training samples based on the mathematical morphology, Bayesian classifier and a dynamic alteration filter. …”
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    Article
  11. 11

    Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid by Zahid, Zuhaili

    Published 2008
    “…As a contribution, this method not only potential to restore the embedded data accurately, but also changes the least pixels in the host image.…”
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    Thesis
  12. 12

    Aco-based feature selection algorithm for classification by Al-mazini, Hassan Fouad Abbas

    Published 2022
    “…The classification of this type of dataset requires Feature Selection (FS) methods for the extraction of useful information. …”
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    Thesis
  13. 13

    Extraction and reconstruction of retinal vasculature by M.H.A., Fadzil, L.I., Izhar, P.A., Venkatachalam, T.V.N., Karunakar

    Published 2007
    “…The technique incorporates both gradient magnitude change and average intensity as the homogeneity criteria that enable the process to adapt to intensity changes and intensity spread over the vasculature region. …”
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    Citation Index Journal
  14. 14

    A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi by Somayeh, Sadeghi

    Published 2015
    “…The proposed algorithm starts by extracting local image features, which are known as keypoints, using SIFT, followed by searching for similar keypoints by clustering extracted descriptors from the image. …”
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    Thesis
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    Autism spectrum self-stimulatory behaviours classification using explainable temporal coherency deep networks and SVM classifier / Liang Shuaibing by Liang , Shuaibing

    Published 2022
    “…Firstly, the extracted features are classified by the k-means method to demonstrate the classification of self-stimulatory behaviours in a completely unsupervised way. …”
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    Thesis