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  1. 1
    Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat

    Automated Hypertensive Retinopathy detection using image processing / Muhammad Imran Rahmat by Rahmat, Muhammad Imran

    Published 2020
    “…There are three phases of this system which is pre-processing, processing and post processing. Several image processing technique has been use in development of this project. …”
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  2. 2
    Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network

    Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network by Mohammed Enamul, Hoque

    Published 2021
    “…Moreover, employing inappropriate image processing techniques at the pre-processing level can lead to poor system performance. …”
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  3. 3
    Image Segmentation using Enhanced K-means Clustering with Hybrid Image Filtering for Acute Leukemia Blood Cells Microscopic Images

    Image Segmentation using Enhanced K-means Clustering with Hybrid Image Filtering for Acute Leukemia Blood Cells Microscopic Images by Farah Hanim Bt Abd Jabar

    Published 2024
    thesis::master thesis
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  4. 4
    Cassava leaf disease detection system using support vector machine / Nor Atiqah Roslan … [et al.]

    Cassava leaf disease detection system using support vector machine / Nor Atiqah Roslan … [et al.] by Roslan, Nor Atiqah, Burhanuddin, Nur Athirah, Zainalabidin, Nur Jannah, Shaharudin, Nur Syafiqah, Mohd Ghazalli, Hajar Izzati

    Published 2021
    “…Image processing phases that involved in this project is image acquisition, image pre-processing, segmentation, feature extraction and classification. …”
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  5. 5
    Cassava leaf disease detection system using support vector machine / Nor Atiqah Roslan … [et al.]

    Cassava leaf disease detection system using support vector machine / Nor Atiqah Roslan … [et al.] by Roslan, Nor Atiqah, Burhanuddin, Nur Athirah, Zainalabidin, Nur Jannah, Shaharudin, Nur Syafiqah, Mohd Ghazalli, Hajar Izzati

    Published 2021
    “…Image processing phases that involved in this project is image acquisition, image pre-processing, segmentation, feature extraction and classification. …”
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  6. 6
    Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis

    Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis by Akbar, F., Herman, N. S., Hussin, B.

    Published 2011
    “…Hybrid methods of transformation are presented here for the image transformation process. The experiments performed on test images shows that hybrid transformation is capable of reducing image data and preserving sufficient quality.…”
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  7. 7
    Slope inspection system using image processed by machine learning algorithm to determine risk of slope failure

    Slope inspection system using image processed by machine learning algorithm to determine risk of slope failure by Mat Shukor, S. H., Abdul Hamid, Syamsul Bahrin, Kasim, N., Ab. Moin, Z.

    Published 2020
    “…The algorithm assesses the level of risk based on trained supervised images identified by experts in the field. Using the trained network model, it was found that Convolution Neural Network (CNN) can perform better than Fully Connected Layer with reduced processing time for sampled images at an accuracy of 66% compared and 33% respectively. …”
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  8. 8
    DESIGN AND IMPLEMENTATION OF VLSI BASED HARDWARE ACCELERATORS FOR REAL TIME VIDEO IMAGE PROCESSING

    DESIGN AND IMPLEMENTATION OF VLSI BASED HARDWARE ACCELERATORS FOR REAL TIME VIDEO IMAGE PROCESSING by YASRI, INDRA

    Published 2012
    “…Video image processing hardware implementation is continually driven to achieve high performance e.g. high resolution, less power consumption, high throughput and better image quality. …”
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  9. 9
    Mammogram breast cancer classification using Support Vector Machines (SVM) / Nur Syafiqah Sahrudin

    Mammogram breast cancer classification using Support Vector Machines (SVM) / Nur Syafiqah Sahrudin by Sahrudin, Nur Syafiqah

    Published 2020
    “…However, the low quality of mammography images leads to the tedious and challenging task in diagnosis process. …”
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  10. 10
    Measurement Of Surface Roughness Using Image Processing Technique

    Measurement Of Surface Roughness Using Image Processing Technique by Luei, Hong Keat

    Published 2010
    “…This research started with the application of vision camera in capturing work piece's surface images and using image processing technique through MATLAB computing software to calculate the Grey Level Co-occurrence Matrices (GLCM) features such as contrast, entropy, energy, homogeneity and correlations. …”
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  11. 11
    Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms

    Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms by Rachmad, Iqbal, Tri Basuki, Kurniawan, Misinem, ., Edi Surya, Negara, Tata, Sutabri

    Published 2024
    “…A critical step in developing such intelligent systems is the feature extraction process. Feature extraction is essential in classification, especially for data sources in the form of images. …”
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  12. 12
    Underwater image enhancement by wavelet based fusion

    Underwater image enhancement by wavelet based fusion by Khan, A., Ali, S.S.A., Malik, A.S., Anwer, A., Meriaudeau, F.

    Published 2017
    “…Therefore, during any image based exploration and inspection activity, it is essential to enhance the imaging data before going for further processing. …”
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  13. 13
    Flower image classification modeling using neural network

    Flower image classification modeling using neural network by Siraj, Fadzilah, Mohd Ekhsan, Hawa, Zulkifli, Abdul Nasir

    Published 2014
    “…Image processing plays an important role in extracting useful information from images.However, the image processing and the process of translating an image into a statistical distribution of low-level features is not an easy task.These tasks are complicated since the acquired image data often noisy, and target objects are influenced by lighting, intensity or illumination. …”
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  14. 14
    3D Openjpeg2000 With Integer KLT

    3D Openjpeg2000 With Integer KLT by Mamat, Shahrul Azmam

    Published 2018
    “…The developed image processing system need to optimize the compression performance of image data in order to maximize the transmission of image data as well as high speed downloading capacity. …”
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  15. 15
    Slope inspection system: using image processed by machine learning algorithm to determine risk of slope failure

    Slope inspection system: using image processed by machine learning algorithm to determine risk of slope failure by Mat Shukor, Sabril Haziq, Syamsul Bahrin, Abdul Hamid, Kasim, Norhidayu, Ab. Moin, Zuraidah

    Published 2020
    “…The algorithm assesses the level of risk based on trained supervised images identified by experts in the field. Using the trained network model, it was found that Convolution Neural Network (CNN) can perform better than Fully Connected Layer with reduced processing time for sampled images at an accuracy of 66% compared and 33% respectively. …”
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  16. 16
    Seismic input optimisation for Joint Migration Inversion on complex structures, Malay Basin

    Seismic input optimisation for Joint Migration Inversion on complex structures, Malay Basin by Hairi, H.H., Md Rafek, A.G., Abdul Latiff, A.H.

    Published 2017
    “…Joint Migration Inversion make use of a Closed-Loop imaging process which means that less wave energy is wasted during processing making the final image more consistent with the input data. …”
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  17. 17
    The Identification of Hunger Behaviour of Lates Calcarifer through the Integration of Image Processing Technique and Support Vector Machine

    The Identification of Hunger Behaviour of Lates Calcarifer through the Integration of Image Processing Technique and Support Vector Machine by Zahari, Taha, M. A. M., Razman, F. A., Adnan, Ahmad Shahrizan, Abdul Ghani, Anwar, P. P. Abdul Majeed, R. M., Musa, M. F., Sallehudin, Mukai, Y.

    Published 2018
    “…This study correlates Barramundi fish-school behaviour with hunger condition through the hybrid data integration of image processing technique. The behaviour is clustered with respect to the position of the centre of gravity of the school of fish prior feeding, during feeding and after feeding. …”
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  18. 18
    Nutrient deficiency detection in maize (Zea mays L.) leaves using image processing / Nurul Shafekah Kassim

    Nutrient deficiency detection in maize (Zea mays L.) leaves using image processing / Nurul Shafekah Kassim by Kassim, Nurul Shafekah

    Published 2020
    “…This Maize Leaves Nutrient Deficiency Detection uses image processing techniques to determine the type of nutrient deficiency that occurs on the plant leaf. …”
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  19. 19
    Recognizing the ripeness of bananas using artificial neural network based on histogram approach / Nur Azam Ahmad

    Recognizing the ripeness of bananas using artificial neural network based on histogram approach / Nur Azam Ahmad by Ahmad, Nur Azam

    Published 2009
    “…This system involved the process of collecting samples with different level of ripeness, image processing and image classification by using artificial neural network. …”
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  20. 20
    Design and development of an automatic fingerprint verification system

    Design and development of an automatic fingerprint verification system by Sulong, Ghazali

    Published 2005
    “…Whereas, in the latter approach, the minutiae are directly extracted from a greyscale image and bypassing all the above processes. However, the minutiae extraction is an error prone process, depending on quality of the fingerprint images. …”
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