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  1. 1

    Integration of image processing algorithm and deep learning approaches to monitor ginger plant by Tan, Cheng Yong

    Published 2024
    “…The image processing techniques will be used to pre-process and enhance the quality of the images to making it easier for the deep learning model to identify the ginger plants. …”
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    Final Year Project / Dissertation / Thesis
  2. 2

    Integration of image processing algorithm and deep learning approaches to monitor ginger plant by Tan, Cheng Yong

    Published 2024
    “…The image processing techniques will be used to pre-process and enhance the quality of the images to making it easier for the deep learning model to identify the ginger plants. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing by Leong, S.H., Ong, S.H.

    Published 2017
    “…Two Gaussian mixture model based algorithms are proposed to effectively preserve image details and avoids image degradation. …”
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    Article
  4. 4

    Cellular Automata-based Algorithm for Liquid Diffusion Phenomenon Modeling using imaging technique by Al-Ghaili, Abbas Mohammed Ali

    Published 2013
    “…This method has used thousands of original images. Then, thousands of images, as the same number of original images, are created by the CA-based algorithm. …”
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    Thesis
  5. 5
  6. 6

    Optimized image enhancement of colour processing for retinal fundus image by Nurul Atikah, Mohd Sharif

    Published 2025
    “…The study introduces a new colour correction model and an optimized image enhancement model, significantly improving retinal fundus image quality and establishing the most effective model for image quality enhancement…”
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    Thesis
  7. 7

    Optimized image enhancement of colour processing for retinal fundus image by Nurul Atikah, Mohd Sharif

    Published 2025
    “…The study introduces a new colour correction model and an optimized image enhancement model, significantly improving retinal fundus image quality and establishing the most effective model for image quality enhancement…”
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    Thesis
  8. 8

    3D character reconstruction from 2D orthogonal images by Kok, Yung Thow

    Published 2025
    “…Instead of fully automating the modelling process, this project aims to introduce an algorithm that reconstruct primitive cubes of stylized 3D character from front, left, back and right orthogonal views images by integrating interactive image segmentation and blender scripting method. …”
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    Final Year Project / Dissertation / Thesis
  9. 9

    Automatic control of flotation process using computer vision by Saravani, Ali Jahed

    Published 2015
    “…A froth model correlating the image variables to process variables and a prediction system estimating the metallurgical parameters based on image variables were then developed by using a neural network structure. …”
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    Thesis
  10. 10
  11. 11

    The automatic focus segmentation of multi-focus image fusion by Kamarul Hawari, Ghazali, Ismail, .

    Published 2022
    “…Finally, the Resnet50 model algorithm in multi-focus image fusion can handle the ghost effect problem well.…”
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    Article
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    An efficient computer forensics selective imaging model by Halboob, Waleed, Alghathbar, Khaled S., Mahmod, Ramlan, Udzir, Nur Izura, Abdullah @ Selimun, Mohd Taufik, Deghantanha, Ali

    Published 2014
    “…This paper investigates the impact of the relevant data offsets on the efficiency of the selective imaging process. A practical selective imaging model is presented which includes a digital evidence ordering algorithm (DEOA) for ordering the selected relevant data items. …”
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    Book Section
  14. 14

    Segmentation of MRI brain images using statistical approaches by Balafar, Mohammad Ali

    Published 2011
    “…Therefore, these algorithms can be improved upon. A neighbourhood-based noise-reduction algorithm which uses the edges of an image is proposed. …”
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    Thesis
  15. 15

    Segmentation of MRI Prostate Images using Gaussian Mixture Models (GMMs) by Roslee, Nur Aqilah

    Published 2016
    “…These wide range of imaging modalities would need a faster, more reliable algorithm for image segmentation to cater for the different characteristics and needs of image processing. …”
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    Final Year Project
  16. 16

    Inverse problem in image processing: Image restoration by Wong, Yen Khai

    Published 2023
    “…This research proposes the use of Metric-based Early Stopping (MB-ES) with the DIP model for image denoising and super-resolution tasks. …”
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    Final Year Project / Dissertation / Thesis
  17. 17

    Fire Detection Algorithm using Image Processing Techniques by Poobalan, Kumarguru, Liew, Siau-Chuin

    Published 2015
    “…In this paper we proposed a fire detection algorithm based on image processing techniques which is compatible in surveillance devices like CCTV, wireless camera to UAVs. …”
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    Conference or Workshop Item
  18. 18

    Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

    Published 2019
    “…This research will be conducted by using digital image processing approach based on the morphological features of leaf with the combination of gray level co-occurrence matrix (GLCM), Prewitt and Canny algorithm and training classification models by using support vector machine (SVM). …”
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    Undergraduate Final Project Report
  19. 19

    A DNA-dynamic permutation-diffusion algorithm for image encryption using scaling chaotification models and advanced DNA operations by Alkawsi, Gamal, Khairullah, Mustafa Kamil, Baharuddin, Mohd Zafri, Thabit, Reema, Alomari, Mohammad Ahmed, A. Saif, Faten

    Published 2025
    “…The Number of Pixel Change Rates (NPCR)exceeds 99.6%, and the Uniform Average Change Intensity (UACI) is above 33.4%. The algorithm encrypts an image of size 256× 256 in 0.1255 s, with a key space reaching 2 697 . …”
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    Article
  20. 20

    Enhancement of parallel thinning algorithm for handwritten characters using neural network by Engkamat, Adeline

    Published 2005
    “…The proposed thinning algorithm is tested on a set of binary images of isolated handwritten characters, obtained from CEDAR and MNIST databases. …”
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    Thesis