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1
A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
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Thesis -
2
Brain tumor image segmentation using deep learning approach
Published 2022“…Deep learning algorithm is able to provide good tumor segmentation results compared to other conventional segmentation algorithms as it learns from the labeled brain MRIs to predict the location of tumor region and consequently segment the tumor. …”
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3
Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…One YOLOv8 based model was developed for detecting and segmenting ginger plants in various growth states. …”
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4
Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Results of studying color segmentation using machine-learning algorithm and color space analysis is presented in this thesis. …”
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5
Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…One YOLOv8 based model was developed for detecting and segmenting ginger plants in various growth states. …”
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Final Year Project / Dissertation / Thesis -
6
Old Jawi manuscript: Digital recognition / Zaidi Razak
Published 2016“…The literature review in this research looks at works conducted in the past on line and character segmentation as well as recognition systems. The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
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7
Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
Published 2021“…Particular attention is given to different loss functions used for training segmentation based on deep learning techniques. …”
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Article -
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Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
Published 2021“…Particular attention is given to different loss functions used for training segmentation based on deep learning techniques. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…Therefore, this research has designed fuzzy learning algorithm that is able to classify fruits based on their shape and size features using Harumanis dataset. …”
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10
Micro-Crack Detection Of Solar Cells Featuring Adaptive Anisotropic Diffusion Filter And Semi-Supervised Support Vector Learning
Published 2014“…These properties together with the shape feature of the micro-crack are used in developing the detection algorithm. In this work, an image processing algorithm featuring an adaptive anisotropic diffusion filter and a segmentation technique based on twostage thresholding is proposed. …”
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11
Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
Published 2022“…This study indicates developing an algorithm for detecting and progressing through the hippocampus of patients with Alzheimer's disease in MRI images. …”
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12
Automated visual defect detection using deep learning
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Final Year Project / Dissertation / Thesis -
13
Development of Scoliotic spine severity detection using deep learning Algorithms
Published 2022“…The neural network used in this study is U-Net, which was developed specifically for biomedical picture segmentation. …”
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Proceeding Paper -
14
REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE
Published 2015“…The influence of illumination variance has been a major challenge in many background modeling algorithms. Previously developed algorithms which intend to solve this issue produced poor object segmentation or consumed substantial amount of computational time, which made them not implementable at real time. …”
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Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani
Published 2005“…In this project, the suitable method of segmentation is local adaptive threshold. However, the performances of neural network in learning and classification task should be enhanced by redesigning and conducting experiment on other learning algorithm than back-propagation.…”
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17
Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging
Published 2022“…Background: This study aims to propose the combinations of image processing and machine learning model to segment the maturity development of the mandibular premolars using a Keras-based deep learning convolutional neural networks (DCNN) model. …”
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18
Deep learning-based water segmentation for autonomous surface vessel
Published 2020“…Using the developed ASV, new dataset of 143 images called Malaysia ASV Dataset (MASVD) is collected, labelled and made publicly available. …”
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Proceeding Paper -
19
Morphological segmentation and analysis of Bangla text
Published 2016“…This paper deals with lexicon and system development for word segmentation in Bangla language.Our goal in this paper is to develop a morphological segmentation algorithm that can work well for Bangla and to address the problem of unsupervised word segmentation across different languages.From a hand-corrected Bangla corpus, 5000 popular words were segmented into suffixes, prefixes and roots manually.These were the sample lexicon used as seed for next step. …”
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Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification
Published 2024“…This study also illustrates the applicability of deep learning methods in neuroscience research projects. …”
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