Search Results - (( selective segmentation modified algorithm ) OR ( java application customization algorithm ))

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  1. 1

    Variational model with image denoising fitting term for boundary extraction of breast ultrasound images by Badrulhisam, Nurdina, Ismail, Nurhuda, Jumaat, Abdul Kadir, Maasar, Mohd Azdi, Laham, Mohamed Faris

    Published 2023
    “…A recent selective variational model, termed the Convex Distance Selective Segmentation (CDSS) model, is effective at segmenting a specific image object. …”
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  2. 2

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

    Published 2018
    “…In the proposed TVS, a modified candidate segment selection technique is initially employed to determine the candidate segments from the entire video. …”
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  3. 3

    A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…The decision on the area of selection is dependent on the assumptions and segmentation model uncertainties taken for training purposes. …”
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  4. 4

    Boundary extraction of abnormality region in breast mammography image using active contours by Mohd Ghani, Noor Ain Syazwani, Jumaat, Abdul Kadir, Mahmud, Rozi

    Published 2022
    “…The recent and effective selective type of active contour model, termed Primal Dual Selective Segmentation (PDSS) model, was proposed in 2019. …”
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  5. 5

    Boundary extraction of abnormality region in breast mammography image using active contours / Noor Ain Syazwani Mohd Ghani, Abdul Kadir Jumaat and Rozi Mahmud by Mohd Ghani, Noor Ain Syazwani, Jumaat, Abdul Kadir, Mahmud, Rozi

    Published 2022
    “…The recent and effective selective type of active contour model, termed Primal Dual Selective Segmentation (PDSS) model, was proposed in 2019. …”
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  6. 6

    Classification of herbs plant diseases via hierarchical dynamic artificial neural network by Abdullah, Lili Nurliyana, Khalid, Fatimah, Borhan, N.M.

    Published 2010
    “…The image processing is divided into four stages: Image Pre-Processing to remove image noises (Fixed-Valued Impulse Noise, Random-Valued Impulse Noise and Gaussian Noise), Image Segmentation to identify regions in the image that were likely to qualify as diseased region, Image Feature Extraction and Selection to extract and select important image features and Image Classification to classify the image into different herbs diseases classes. …”
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  7. 7

    Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework by Abdullah, Lili Nurliyana, Khalid, Fatimah, Borhan, N.M.

    Published 2011
    “…The image processing is divided into four stages: Image Pre-Processing to remove image noises (Fixed-Valued Impulse Noise, Random-Valued Impulse Noise and Gaussian Noise), Image Segmentation to identify regions in the image that were likely to qualify as diseased region, Image Feature Extraction and Selection to extract and select important image features and Image Classification to classify the image into different herbs diseases classes. …”
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  9. 9

    Development of new code for optical code division multiple access systems by Hilal Adnan, Fadhil

    Published 2011
    “…The overall code sequences are divided into two parts: code and data segments. These codes sequences having zero and variable cross-correlation at data segment and code segment, respectively. …”
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  10. 10

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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  11. 11

    Local-based stereo matching algorithm using multi-cost pyramid fusion, hybrid random aggregation and hierarchical cluster-edge refinement by Kadmin, Ahmad Fauzan

    Published 2023
    “…Then, a new proposed cost aggregation based on the Hybrid Random Aggregation (HA) was implemented that utilized modified Iterative Non-Local Guided Filter (iNLGF), Simple Linear Iterative Clustering (SLIC), Graph Segmentation (GS) and Extended Restart Random Walk (eRWR) for error reduction. …”
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  12. 12

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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