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  1. 1

    Finding objects with segmentation strategy based multi robot exploration in unknown environment by Arezoumand, Reza, Mashohor, Syamsiah, Marhaban, Mohammad Hamiruce

    Published 2013
    “…Also the algorithm using segmentation strategy is using frontier base algorithm for exploring divided area. …”
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    Article
  2. 2

    Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images by Farzan, Ali, Ramli, Abdul Rahman, Mashohor, Syamsiah, Mahmud, Rozi

    Published 2010
    “…Hence involving problem specific information and expert knowledge in designing segmentation algorithms seems to be useful. A two-fold fuzzy segmentation algorithm based on Bayesian method is proposed in this paper. …”
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    Conference or Workshop Item
  3. 3

    Computerized segmentation of sinus images by Iznita , I.L., Asirvadam , Vijanth Sagayan, Venkatachalam, P.A, Lee, S.N

    Published 2009
    “…The software used for simulations is Matlab. Simulations were performed on images of healthy sinuses and sinuses with sinusitis. …”
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    Conference or Workshop Item
  4. 4

    Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali by Mohd Razali, Ainaa Farhanah

    Published 2022
    “…The system algorithm is verified and validates on two sloped bumps surface topographies that have been simulated using MATLAB software and measured using the Alicona Infinite Focus Measurement (IFM) device, respectively. …”
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    Thesis
  5. 5

    Estimation of small-scale kinetic parameters of escherichia coli (E. coli) model by enhanced segment particle swarm optimization algorithm ese-pso by Mohammed Adam Kunna, Azrag, Jasni Mohamad, Zain, Tuty Asmawaty, Abdul Kadir, Marina, Yusoff, Jaber, Aqeel Sakhy, Abdlrhman, Hybat Salih Mohamed, Ahmed, Yasmeen Hafiz Zaki, Husain, Mohamed Saad Bala

    Published 2023
    “…In this regard, the result of the ESe-PSO algorithm achieved superior accuracy compared with the Segment Particle Swarm Optimization (Se-PSO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Differential Evolution (DE) algorithms. …”
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    Article
  6. 6

    COMPUTERIZED SEGMENTATION OF SINUS IMAGES by LEE, SAN LAIEN

    Published 2009
    “…Multilevel thresholding algorithms were developed to segment the images into meaningful regions for the detection of sinusitis. …”
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    Final Year Project
  7. 7
  8. 8

    A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens by Z. L., Chuan, A. A., Jemain, C-Y, Liong, N. A. M., Ghani, L. K., Tan

    Published 2017
    “…Therefore, the aim of this study is to propose a robust algorithm for a firearm identification based on extracting a set of informative features from the segmented region of interest (ROI) using the simulated noisy center-firing pin impression images. …”
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    Conference or Workshop Item
  9. 9

    Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels by Lee, Hao Wei, Seng, Kah Phooi *, Chia, Wai Chong *, Ang, Li-Minn

    Published 2012
    “…Simulation shows proposed algorithm yields segmented error of 5.55% with accuracy of 94.45%. …”
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    Conference or Workshop Item
  10. 10

    Route optimization using shortest path method / Muhamad Faisal Amin Shakri by Shakri, Muhamad Faisal Amin

    Published 2025
    “…This study investigated the implementation and comparison between well known shortest path method which are Dijkstra’s algorithm, Bellman-Ford, and A* algorithm. This study starts with constructing the weighted graph from the simulation case using Google Maps, the intersection of the junction will be the vertices and road segments are edges, weighted are distances. …”
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    Thesis
  11. 11

    Efficient hardware design for palm-dorsa vein image enhancement by Jusoh@Yusoff, Suhaimi Bahisham

    Published 2018
    “…Then, segmentation technique consisting of Difference of Gaussian and threshold are used to segment the veins. …”
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    Thesis
  12. 12

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

    Published 2007
    “…The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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    Thesis
  13. 13

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

    Published 2007
    “…The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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    Thesis
  14. 14

    Enhancement Of Medical Image Compression Algorithm In Noisy WLANS Transmission by Algaet, Mustafa Almahdi

    Published 2018
    “…For image reconstruction,decoding steps based the developed quantization architecture are examined.The EICA is particularly useful where the size of the transmitted data needs to be reduced to minimize the image transmission time.For data compression with suitable and effective performance,enhanced independent components analysis (EICA) is proposed as an algorithm for compression and decompression of medical data.A comparative analysis is performed based on existing data compression techniques:discrete cosine transform (DCT), set partitioning in hierarchical trees (SPIHT),and Joint Photographic Experts Group (JPEG 2000).Three main modules,namely,compression segment (CS),transceiver segment (TRS),and outcome segment (OTS) modules,are developed to realize a fully computerized simulation tool for medical data compression with suitable and effective performance.To compress medical data using algorithms,CS module involves four different approaches which are DCT, SPIHT,JPEG 2000 and EICA.TRS module is processed by low-cost WLANs with low-bandwidth transmission.Finally,OTS is used for data decompression and visualization result.In terms of compression module,results show the benefits of applying EICA in medical data compression and transmission.While for system design,the developed system displays favorable outcomes in compressing and transmitting medical data.In conclusion,all three modules (CS,TRS,and OTS) are integrated to yield a computerized prototype named as Medical Data Simulation System(Medata-SIM) computerized system that includes medical data compression and transceiver for visualization to aid medical practitioners in carrying out rapid diagnoses.…”
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    Thesis
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    Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification by Ling, Hui Yean

    Published 2025
    “…Laboratory experiments were conducted using a custom-built image acquisition tool to capture crack images under simulated soil desiccation conditions. …”
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    Final Year Project / Dissertation / Thesis
  17. 17

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

    Published 2015
    “…Bubble size distribution which is regarded as the most important characteristics of froth structure, is being addressed in this thesis by using a segmentation algorithm. A marker based watershed algorithm had been adopted and improved so as to prevent the over segmentation of big bubbles and able to adapt itself with different scenario of froth images. …”
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    Thesis
  18. 18

    Segment Particle Swarm Optimization Adoption for Large-Scale Kinetic Parameter Identification of Metabolic Network Model by Azrag, M. A. K., Tuty Asmawaty, Abdul Kadir, Jaber, Aqeel S.

    Published 2018
    “…The seven sensitive kinetic parameters were used in both the algorithms to minimize the model response errors. …”
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    Article
  19. 19

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

    Published 2011
    “…The study is carried out using a theoretical calculation, and simulation experiment. …”
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    Thesis
  20. 20

    Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel by Usmani, U.A., Happonen, A., Watada, J.

    Published 2022
    “…Consequently, the feature now includes both high-level and low-level image semantic feature information, boosting our overall segmentation frameworkâ��s performance. We use the Polyvore and DeepFashion2 databases for testing our algorithm, since these are the standard datasets used by the current methods for running the simulations. …”
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    Article