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  1. 1
    Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents

    Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents by Zulcaffle, Tengku Mohd Afendi

    Published 2007
    “…A noise model has been developed to test the reliability of the proposed algorithm. …”
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  2. 2
    Adaptive background reconstruction for street surveillance

    Adaptive background reconstruction for street surveillance by Zainuddin, N. Afiqah, Mohd Mustafah, Yasir, Shafie, Amir Akramin, Rashidan, M. Ariff

    Published 2014
    “…The proposed algorithm is capable of reconstructing the background with moving objects in video sequence. …”
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  3. 3
    Development of auto-tracking mobile robot

    Development of auto-tracking mobile robot by Ahmad Shahrizan, Abdul Ghani, Suresh, Sundarajoo

    Published 2018
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  4. 4
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The appropriate Java codes are developed for solve this task. The developed patterns are applied in the field of real-time analysis. …”
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  5. 5
    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin

    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin by Ahmad, Khairul Azman, Mohd Noor, Mohd Halim, Mohamad Idin, Mohamad Adha

    Published 2011
    “…There are many challenges in developing a good background subtraction algorithm. …”
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    Research Reports
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  6. 6
    REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE

    REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE by MOHAMED AMEEN MASHOOD, MOHAMED ABUL HASSAN

    Published 2015
    “…A good background modeling algorithm should be able to detect objects/targets under any environmental condition. …”
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  7. 7
    Investigation And Development Of Forensic Mean-Based Adaptive Background Correction Algorithm (Mabca) For Visual Enhancement Of Bloodstains, Seminal Stains And Fingerprints

    Investigation And Development Of Forensic Mean-Based Adaptive Background Correction Algorithm (Mabca) For Visual Enhancement Of Bloodstains, Seminal Stains And Fingerprints by Lee, Wee Chuen

    Published 2017
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  8. 8
    Implementation of (AES) Advanced Encryption Standard algorithm in communication application

    Implementation of (AES) Advanced Encryption Standard algorithm in communication application by Moh, Heng Huong

    Published 2014
    “…The concept of ABS algorithm was firstly studied, including the definition, historical background, and a brief comparison was made between the ABS algorithm with other types of algorithm. …”
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    Undergraduates Project Papers
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  9. 9
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Two environments have been applied to demonstrate the performance of the system, a person or more was detected for texture background and untextured background. The anahsis. design and development of simulation system are done in Visual C ^ . …”
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  10. 10
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Two environments have been applied to demonstrate the performance of the system, a person or more was detected for texture background and untextured background. The anahsis. design and development of simulation system are done in Visual C ^ . …”
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  11. 11
    Testing static single cell faults using static and dynamic data background

    Testing static single cell faults using static and dynamic data background by Zakaria, Nor Azura, Wan Hasan, Wan Zuha, Abdul Halin, Izhal, Mohd Sidek, Roslina, Wen, Xiaoqing

    Published 2011
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  12. 12
    Road triangle detection for non-road area elimination using lane detection and image multiplication

    Road triangle detection for non-road area elimination using lane detection and image multiplication by Aminuddin, Nur Shazwani, Mat Ibrahim, Masrullizam, Mohd Ali, Nursabillilah, Ahmad Radzi, Syafeeza, Darsono, Abd Majid, Wong, Yan Chiew

    Published 2017
    “…The background has become the key issue in maintaining the accuracy of final analysis for object detection in the development of an image processing algorithm. …”
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  13. 13
    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory

    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

    Published 2011
    “…This tool can be used to ease the process of developing a new March test algorithm for NPSF.…”
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  14. 14
    New CFAR algorithm and circuit development for radar receiver

    New CFAR algorithm and circuit development for radar receiver by Kamal, Mustafa Subhi

    Published 2020
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  15. 15
    The Development of Synthetic Algorithm of Fluid Flow Through Particle Image Velocimetry (PIV)

    The Development of Synthetic Algorithm of Fluid Flow Through Particle Image Velocimetry (PIV) by MOHD SHARFRI, RAIHAN AMALINA

    Published 2017
    “…This report discusses the interrogation performance of a cross-correlation based PIV algorithm with interrogation flexibility. In order to assess the developed algorithm, this procedure is tested with synthetic data for uniform linear flow under various experimental conditions. …”
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  16. 16
    Machine Vision Application For Automatic Defect Segmentation In Weld Radiographs

    Machine Vision Application For Automatic Defect Segmentation In Weld Radiographs by Soo , Say Leong

    Published 2006
    “…Finally. a defect segmentation algorithm was developed to segment the defects automatically from the image using background subtraction and rank leveling method.…”
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  17. 17
    A new approach to highway lane detection by using hough transform technique

    A new approach to highway lane detection by using hough transform technique by Aminuddin, Nur Shazwani, Mat Ibrahim, Masrullizam, Mohd Ali, Nursabillilah, Ahmad Radzi, Syafeeza, Mohd Saad, Wira Hidayat, Darsono, Abdul Majid

    Published 2017
    “…This paper presents the development of a road lane detection algorithm using image processing techniques.This algorithm is developed based on dynamic videos, which are recorded using on-board cameras installed in vehicles for Malaysian highway conditions.The recorded videos are dynamic scenes of the background and the foreground, in which the detection of the objects, presence on the road area such as vehicles and road signs are more challenging caused by interference from background elements such as buildings, trees, road dividers and other related elements or objects. …”
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  18. 18
    Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone

    Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone by Md Jamal, Norezmi

    Published 2022
    “…In order to overcome these issues, a supervised Deep Neural Network (DNN) algorithm predicted constrained Wiener Filter (cWF) target mask algorithm based on extracted Gammatone filter bank power spectrum (GF-TF) features and trained model is developed. …”
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  19. 19
    Fast background subtraction for real time monitoring

    Fast background subtraction for real time monitoring by Sundaraj, Kenneth, Retnasamy, V.

    Published 2009
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  20. 20
    Video Object Segmentation

    Video Object Segmentation by Putri Norhidayah bt Megat Abdul Rahaman, Putri Norhidayah

    Published 2009
    “…The objective of the project is to develop an algorithm of video object segmentation to extract object of interest from background and segment the object into color homogeneity. …”
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