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  1. 1
    Image clustering comparison of two color segmentation techniques

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

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Ray Casting for Iso-surface in Volumetric Data

    Ray Casting for Iso-surface in Volumetric Data by Ngoc Anh, Do Hoang

    Published 2005
    “…The thesis includes a proposal of new multisampling algorithm, which significantly reduces rendering time while producing similar quality of image with existing algorithms.…”
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  5. 5
    Denoising of digital images using second generation wavelet transforms-hidden markov model

    Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

    Published 2016
    “…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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  6. 6
    Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation

    Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation by Khmag, Asem, Ramli, Abdul Rahman, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari

    Published 2014
    “…In this study the result shows that the proposed denoising algorithm based on semi-soft threshold algorithm outperforms the traditional wavelet denoising techniques in terms of visual quality and subjective scales, where it preserved the edges, ridges details of the reconstructed image and the quality of visualization shape as well. …”
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  7. 7
    Visual servo algorithm of robot arm for pick and place application

    Visual servo algorithm of robot arm for pick and place application by Chuah, Zuo Wei, Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim

    Published 2024
    “…Thus, it can be concluded that the robot arm’s visual servo algorithm is suitable for pick-and-place applications.…”
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  8. 8
    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement

    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement by Ismail, Nur Halilah, Chen, Soong Der, Ng, Liang Shing, Ramli, Abd Rahman

    Published 2016
    “…Basically, the IQA used produced quality rating of the image while consistently with human visual perception. …”
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  9. 9
    Machine learning approach for automated optical inspection of electronic components

    Machine learning approach for automated optical inspection of electronic components by Lim, Siew Kee

    Published 2019
    “…(Smith and Adendorff, 1991). Human visual inspection system is insufficient for conducting quality control under such increased capacity. …”
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  10. 10
    GMSD-based perceptually motivated non-local means filter for image denoising

    GMSD-based perceptually motivated non-local means filter for image denoising by Baqar, Mohtashim *, Lau, Sian Lun *

    Published 2019
    “…Further, the proposed methodology also helps in mitigating the patch jittering blur effect (PJBE) and over smoothing of denoised images as observed with conventional NLM algorithm. Experimental evaluations based on visual-quality assessment and least-square based metrics have shown that the proposed algorithm yields better denoised image estimates than the conventional NLM algorithm. …”
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  11. 11
    Automated visual inspection (AVI) research for quality control in metal stamping manufacturing

    Automated visual inspection (AVI) research for quality control in metal stamping manufacturing by Habibullah, Akbar, Anton Satria, Prabuwono

    Published 2008
    “…The result shows the potential implementation to improve the quality control in manufacturing environment.…”
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  12. 12
    Automated visual defect detection using deep learning

    Automated visual defect detection using deep learning by Loh, Xiao

    Published 2022
    “…A manufacturing defect is a flaw that causes a product to deviate from its intended design, thereby losing its quality and no longer having its due value. There are two kinds of methods employed by the manufacturing industries to ensure that the manufactured products are well-conditioned and free of any defects, namely human quality inspection and artificial intelligence visual inspection. …”
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  13. 13
    Towards a unified image quality assessment technique for cross-content image processing applications

    Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

    Published 2024
    “…In summary, the study develops algorithms for accurate image quality prediction, refining images, and enhancing visual quality. …”
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  14. 14
    Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images

    Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images by Tung, Li Qian

    Published 2012
    “…Both results show that the proposed tone mapping algorithm produces images with good visual quality by retrieving more detail and local contrast in the image if compare with other tone mapping operator.…”
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  15. 15
    A review of visualization techniques for duplicate detection in cancer datasets

    A review of visualization techniques for duplicate detection in cancer datasets by Emran, Nurul Akmar, Maskat, Ruhaila

    Published 2025
    “…The review assesses existing visualization techniques based on their scalability, interactivity, integration with deduplication algorithms, and how well they address core data quality dimensions. …”
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  16. 16
    Natural image noise level estimation based on local statistics for blind noise reduction

    Natural image noise level estimation based on local statistics for blind noise reduction by Khmag, Asem, Ramli, Abd Rahman, Sy Mohamed, Sy Abd Rahman Al-haddad, Kamarudin, Noraziahtulhidayu

    Published 2018
    “…Associated with different conventional noise estimators, the proposed algorithm yields the best performance, higher-quality images, and faster running speed.…”
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  17. 17
    Improved abnormal detection using self-adaptive social force model for visual surveillance

    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…The estimation of the good quality of interaction forces is critical in this case and has not been explored yet. …”
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  18. 18
    Video abstraction using density-based clustering algorithm

    Video abstraction using density-based clustering algorithm by Chamasemani, Fereshteh Falah, Affendey, Lilly Suriani, Mustapha, Norwati, Khalid, Fatimah

    Published 2017
    “…The novelty of DbSva is (a) to integrate the advantages of both the global and local features of video contents by fusion and (b) to employ the DENsity-based CLUstEring algorithm (DENCLUE) to significantly improve the quality of abstract videos. …”
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  19. 19
    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement

    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement by Ismail N.H.B., Chen S.-D., Ng L.S., Ramli A.R.

    Published 2023
    “…Basically, the IQA used produced quality rating of the image while consistently with human visual perception. …”
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  20. 20
    Agarwood oil grade clustering of aquilaria malaccensis species using Extraction by GC-MS analysis: Efficient KNN algorithm based on patterns visualization of two-dimensional graph

    Agarwood oil grade clustering of aquilaria malaccensis species using Extraction by GC-MS analysis: Efficient KNN algorithm based on patterns visualization of two-dimensional graph by Siti Mariatul Hazwa, Mohd Huzir, Anis Hazirah ‘Izzati H., Al-Hadi, Amir Hussairi, Zaidi, Nurlaila F., Ismail, Zakiah, Mohd Yusoff, Saiful Nizam, Tajuddin, Mohd Nasir, Taib

    Published 2024
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