Search Results - (( developing developing normalization algorithm ) OR ( based segmentation method algorithm ))

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  1. 1

    Novel techniques for enhancement and segmentation of acne vulgaris lesions by Malik, A. S., Humayun, J., Kamel, N., Yap, F. B.-B.

    Published 2013
    “…Methods: For the first objective, an algorithm is developed based on the theory of high dynamic range (HDR) images. …”
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    Citation Index Journal
  2. 2

    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali by Hambali, Hamirul'aini

    Published 2015
    “…Therefore, this research has developed three improved methods which are able to segment images acquired in natural environment satisfactorily.The first method is an improved thresholding-based segmentation (TsN), which adds algorithms of inverse process and adjustment on threshold value. …”
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    Thesis
  3. 3

    Stroke-to-stroke matching in on-line signature verification by Ahmad Jaini, Azhar

    Published 2010
    “…Current methods make use of the DTW algorithm and its variant to segment them before comparing each of its data dimension. …”
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    Thesis
  4. 4

    Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model by Yousef A. Baker, El-Ebiary, Abdilahi, Liban, Abdullah, M.A., Othman A. M., Miaikil, Contreras, Jennifer, Hilles, M.M.

    Published 2021
    “…The aim study of this paper is to propose latent fingerprint enhancement and segmentation based on hybrid model and Chan-Vese method for segmentation , in order to reduce low image quality and increase the accuracy of fingerprint . …”
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    Conference or Workshop Item
  5. 5

    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

    Published 2024
    “…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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    Thesis
  6. 6

    Detection of corneal arcus using rubber sheet and machine learning methods by Ramlee, Ridza Azri

    Published 2019
    “…The segmentation iris is transformed to rectangular shape using the Rubber Sheet method. …”
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    Thesis
  7. 7

    Automatic Classification of Cervix Type by Muktiar Singh, Jasdeep Singh

    Published 2019
    “…Due to that, in this study, few algorithms were developed by using image classification methods to correctly classify the cervix types based on cervical images by using segmentation and classification method. …”
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    Final Year Project
  8. 8

    Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

    Published 2016
    “…Methods: The developed framework comprises of five computational steps to segment the ATFL ligament region. …”
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    Article
  9. 9

    Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

    Published 2016
    “…Methods: The developed framework comprises of five computational steps to segment the ATFL ligament region. …”
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    Article
  10. 10
  11. 11

    Exploring Text Recognition Segmentation and Detection in Natural Scene Images by Wydyanto, ., Maria, Ulfa

    Published 2024
    “…This paper aims to provide a comprehensive review of the latest algorithms for text detection, segmentation, and recognition from natural scene images. …”
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    Article
  12. 12

    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
    “…Over the last decade, many algorithms have been developed to address this problem. …”
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    Thesis
  13. 13

    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

    Published 2012
    “…Based on literature review, automated identification of tropical freshwater algae is even non-existent yet, and this study is designed to fill this gap.The development process of the automated freshwater algae detection system involves with many techniques and computer methods such as image preprocessing,segmentation, feature extraction, and classification process by using ANN. …”
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    Thesis
  14. 14
  15. 15

    Computing non-contactable drowsiness monitoring system with mobile machine vision by Alixson Polumpung, Lorita Angeline, Helen Sin Ee Chuo, Tan, Min Keng, Lim, Kit Guan, Teo, Kenneth Tze Kin

    Published 2022
    “…This project proposes a human facial features detection based on color segmentation via skin color and Viola- Jones algorithm for real time application. …”
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    Conference or Workshop Item
  16. 16

    Deep learning-based item classification for retail automation by Ling, Ji Xiang

    Published 2025
    “…This project focuses on developing a deep learning-based system for retail item classification. …”
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    Final Year Project / Dissertation / Thesis
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    A Review on the Development of Indonesian Sign Language Recognition System by Jasni, Mohamad Zain, Sutarman, na, Mazlina, Abdul Majid

    Published 2013
    “…Effective algorithms for segmentation, matching the classification and pattern recognition have evolved. …”
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    Article
  19. 19

    Quaternion-based dynamic algorithm for random generation of solid 4D cylindrical curves in RVE modeling by Hamat, Sanusi, Ishak, Mohamad Ridzwan, Kelly, Piaras, Salit, Mohd Sapuan, Yidris, Noorfaizal, Ali, Syamir Alihan Showkat, Hussin, Mohd Sabri, Mohd Dawi, Mohd Syedi Imran

    Published 2025
    “…A quaternion‐based dynamic algorithm is developed to populate Representative Volume Elements (RVEs) with solid 4D cylindrical fibers, combining spatial centerline coordinates (x,y,z) and quaternion‐encoded orientation. …”
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    Article
  20. 20

    Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification by Ahmad, Fadzil

    Published 2017
    “…The performance of improved GA has been evaluated using highly complicated and multimodal benchmark test functions and compared with the standard GA. Based on the occurrences of the best result obtained by an algorithm across different test functions; it is proven that the proposed method outperforms standard GA. …”
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    Thesis