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  1. 1
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…The first algorithm locates interest points in food images using an MSER. …”
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  2. 2
    Deep learning-based classification of breast tumors in ultrasound images / Ayub Ahmed Omar

    Deep learning-based classification of breast tumors in ultrasound images / Ayub Ahmed Omar by Ayub Ahmed, Omar

    Published 2022
    “…The U-Net model is used to locate tumor growth in original medical images because of its capacity to do classification on each pixel in the input image and produce input and output images that are the same size. …”
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  3. 3
    Automated Detection and Classification of Retinal Vein Occlusion Using Ultra-widefield Retinal Fundus Images and Transfer Learning

    Automated Detection and Classification of Retinal Vein Occlusion Using Ultra-widefield Retinal Fundus Images and Transfer Learning by Ivy Ong Siaw Yin, Ong

    Published 2024
    “…The automated algorithm can detect the presence of RVO in retinal fundus images and accurately pinpoint the locations of associated lesions. …”
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  4. 4
    Feature extraction for face recognition via Active Shape Model (ASM) and Active Appearance Model (AAM)

    Feature extraction for face recognition via Active Shape Model (ASM) and Active Appearance Model (AAM) by Iqtait, M., Mohamad, F.S., Mamat, M.

    Published 2018
    “…Cootes proposed a Multi Resolution Active Shape Models (ASM) algorithm, which could extract specified shape accurately and efficiently. …”
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  5. 5
    Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency

    Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency by Ghazanfar, Latif, Dayang Nur Fatimah, Binti Awg Iskandar, Jaafar, Alghazo, Arfan, Jaffar

    Published 2018
    “…The tumor is segmented using Fuzzy C-mean and reconstructed tumor 3D model to measure the volume, location and shape accurately. …”
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  6. 6
    Categorization of internal faults by using Artificial Neural Network (ANN): article / Mohd Anuar Shafi'i

    Categorization of internal faults by using Artificial Neural Network (ANN): article / Mohd Anuar Shafi'i by Shafi'i, Mohd Anuar

    Published 2010
    “…While another 168 samples are used for testing. The optimized model is evaluated and validated through analysis of performance indicators frequently used in any classification model.…”
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  7. 7
    License plate detection using deep learning object detection models

    License plate detection using deep learning object detection models by Leong, Kar Wan

    Published 2024
    “…Object detection – an extension of image classification task in computer vision can locate any object from any given image input. …”
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    Final Year Project / Dissertation / Thesis
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  8. 8
    Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i

    Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i by Shafi'i, Mohd Anuar

    Published 2010
    “…The optimized model is evaluated and validated through analysis of performance indicators frequently used in any classification model.…”
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  9. 9
    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine

    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine by Fathi Mahdi Elsiddig Haroun, Mr.

    Published 2023
    “…In this dissertation, a new vegetation encroachment detection method was proposed by studying the feasibility of using the visible-light band of highresolution satellite images using the RetinaNet deep learning model and Support Vector Machine algorithm (SVM). …”
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  10. 10
    The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers

    The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers by Zhang, Xiaolei, Iqbal bin Saripan, M., Wu, Yanjun, Wang, Zhongxiao, Wen, Dong, Cao, Zhendong, Wang, Bingzhen, Xu, Shiqi, Liu, Yanli, Marhaban, Mohammad Hamiruce, Dong, Xianling

    Published 2024
    “…Accuracy, precision, recall, and area under the receiver curve (AUC) were used as evaluation metrics for model classification. …”
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  11. 11
    Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia

    Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia by San, Limhwee

    Published 2006
    “…In-situ PM1 0 measurements were collected simultaneously with the digital image acquisition using a DustTrak Aerosol Monitor model 8520 and their locations were determined by a handheld global positioning system (GPS). …”
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  12. 12
    Optimized techniques for landslide detection and characteristics using LiDAR data

    Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

    Published 2018
    “…These results indicated that the proposed models with optimized hyper-parameters produced the accurate classification results. …”
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  13. 13
    Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS

    Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS by Alias, Nor Lianatashya

    Published 2020
    “…The GPP was extracted from MOD 17A2H product to go through an images processing steps, image analysis which MOD 15 algorithm and MOD 17 algorithm. …”
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    Undergraduate Final Project Report
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  14. 14
    An Optimized Semantic Segmentation Framework for Human Skin Detection

    An Optimized Semantic Segmentation Framework for Human Skin Detection by Huong, Audrey, Ngu, Xavier

    Published 2024
    “…The study incorporating optimization strategy in semantic segmentation is underexplored in dermatology. Existing approaches used complex and various heuristic designs of image processing algorithms and deep models customized for skin detection problems. …”
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  15. 15
    Local threshold identification and gray level classification of butt joint welding imperfections using robot vision system

    Local threshold identification and gray level classification of butt joint welding imperfections using robot vision system by Mohd Shah, Hairol Nizam

    Published 2018
    “…The background subtraction and local thresholding approaches consist of image pre-processing, noise reduction and butt welding representation algorithms. The approaches can automatically recognize and locate the butt joint position of the starting, middle, auxiliary and ending point according to the three different joint shapes; straight line, tooth saw and curved joint shapes. …”
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  16. 16
    Machine-learning guided fracture density seismic inversion: A new approach in fractured basement characterisation

    Machine-learning guided fracture density seismic inversion: A new approach in fractured basement characterisation by Shamsuddin, A.A.S., Purnomo, E.W., Ghosh, D.P.

    Published 2020
    “…It allows potential fracture density mapping by using geobody analysis through classification or cut off value. …”
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  17. 17
    Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment

    Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment by Yekeen, S.T., Balogun, A.-L.

    Published 2020
    “…The Support Vector Machine (SVM) and Artificial Neural Network (ANN) are the most used machine learning algorithms for oil spill detection, although the restriction of ML models to feed forward image classification without support for the end-to-end trainable framework limits its accuracy. …”
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  18. 18
    Estimating cabbage production in Cameron Highlands, Malaysia using IKONOS data.

    Estimating cabbage production in Cameron Highlands, Malaysia using IKONOS data. by Jusoff, Kamaruzaman

    Published 2009
    “…Using a supervised and unsupervised classification, less than and above 1.5 month-old cabbages were mapped and quantified. …”
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  19. 19
    Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease

    Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease by Che Hashim, Izrahayu

    Published 2021
    “…The classification is performed using the derived features from the thermal images and the backscatter features. …”
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  20. 20
    Aerial imagery paddy seedlings inspection using deep learning

    Aerial imagery paddy seedlings inspection using deep learning by Anuar, Mohamed Marzhar, Abdul Halin, Alfian, Perumal, Thinagaran, Kalantar, Bahareh

    Published 2022
    “…The emergence of artificial intelligence due to the capability of recent advances in computing architectures could become a new alternative to existing solutions. Deep learning algorithms in computer vision for image classification and object detection can facilitate the agriculture industry, especially in paddy cultivation, to alleviate human efforts in laborious, burdensome, and repetitive tasks. …”
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