Search Results - (( developing segmentation using algorithm ) OR ( based application optimized algorithm ))

Refine Results
  1. 1

    Development of a new algorithm for segmentation of flotation froth images by Jahedsaravani, Ali, Marhaban, Mohammad Hamiruce, Massinaei, Mohammad, Saripan, M. Iqbal, Mehrshad, Naser, Mohd Noor, Samsul Bahari

    Published 2014
    “…In the paper, the marker-based watershed method is modified to prevent oversegmentation of large bubbles. The developed algorithm is validated using some froth images captured at different operating conditions, so the results indicate that the method can segment the mixture of big and small bubbles effectively.…”
    Get full text
    Get full text
    Article
  2. 2
  3. 3

    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis by Norman, Masayu

    Published 2019
    “…Overall, this study offers new insights into remote sensing urban applications, specifically for roof-based mapping through the development of systematic improvement approach using OBIA. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Stereo matching algorithm using census transform and segment tree for depth estimation by Hamzah, Rostam Affendi, Zainal Azali, Muhammad Nazmi, Mohd Noh, Zarina, Tengku Wook, Tg Mohd Faisal, Zainal Abidin, Izwan

    Published 2023
    “…This article proposes an algorithm for stereo matching corresponding process that will be used in many applications such as augmented reality, autonomous vehicle navigation and surface reconstruction. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions by Abbas O.K., Abdullah F., Radzi N.A.M., Salman A.D., Abdulkadir S.J.

    Published 2025
    “…Clustering in WSNs is a reliable method of effectively transferring data within the network through routing. Thus, developing an effective routing algorithm to optimize network functionality is a big concern. …”
    Article
  6. 6

    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. …”
    Get full text
    Get full text
    Get full text
    Book
  7. 7

    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
    “…The enhanced contrast image is further optimized by the particle swarm optimization algorithm. …”
    Get full text
    Get full text
    Article
  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
    “…The enhanced contrast image is further optimized by the particle swarm optimization algorithm. …”
    Get full text
    Get full text
    Article
  9. 9

    Electromyography signal processing based on time and time-frequency representations for prosthesis application by Mahdavi, Farzaneh Akhavan

    Published 2014
    “…Based on the results of this thesis, the proposed algorithm for EMG signal processing can be applied to discriminate different hand grip postures efficiently. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Performance evaluation of automatic number plate recognition on android smartphone platform by Gunawan, Teddy Surya, Mutholib, Abdul, Kartiwi, Mira

    Published 2017
    “…On the other hand, the traditional algorithm using template matching only obtained 83.7% recognition rate with 0.98 second processing time. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    Brovey Transform Based Image Fusion For Impurities Segmentation And Detection On Edible Bird’s Nest by Kee, Seow Pei

    Published 2019
    “…Automated inspection was introduced but still continues to exist as a challenging field of development as there is no effective algorithms for impurities segmentation. …”
    Get full text
    Get full text
    Monograph
  12. 12

    3D character reconstruction from 2D orthogonal images by Kok, Yung Thow

    Published 2025
    “…The proposed algorithm is organized into modular stages, allowing artists and developers to further improving the pipeline by integrating computer vision, AI models and 3D modelling and scripting techniques. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  13. 13

    Development of portable automatic number plate recognition system on android mobile phone by Mutholib, Abdul, Gunawan, Teddy Surya, Chebil, Jalel, Kartiwi, Mira

    Published 2013
    “…The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

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

    Published 2025
    “…Real-time processing was achieved through the integration of object detection algorithms like YOLO and image segmentation techniques. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  15. 15

    Development of portable automatic number plate recognition system on android mobile phone by Mutholib, Abdul, Gunawan, Teddy Surya, Chebil, Jalel, Kartiwi, Mira

    Published 2013
    “…The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  16. 16

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

    Published 2012
    “…Several image preprocessing steps was designed to contrast the images, remove the noise, and improve image quality and overall appearance. Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
    Get full text
    Get full text
    Thesis
  17. 17

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

    Published 2017
    “…Secondly, a novel reproduction technique called Segmented Multi-Chromosome Crossover (SMCC) is introduced. …”
    Get full text
    Get full text
    Thesis
  18. 18

    Cauchy density-based algorithm for VANETs clustering in 3D road environments by Jubair, Mohammed Ahmed, Ahmad, Mohd Riduan, Abdul Aziz, Izzatdin, Al-Obaidi, Ahmed Salih, Al-Tickriti, Abdullah Talaat, Hassan, Mustafa Hamid, Mostafa, Salama A., Mahdin, Hairulnizam

    Published 2022
    “…This paper attempts to solve the problem of VANETs in 3D road environments using a centralized clustering technique to develop a Cauchy density model. …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    A study on component-based technology for development of complex bioinformatics software by Ali Shah, Zuraini, Deris, Safaai, Othman, Muhamad Razib, Zakaria, Zalmiyah, Saad, Puteh, Hassan, Rohayanti, Muda, Mohd. Hilmi, Kasim, Shahreen, Roslan, Rosfuzah

    Published 2004
    “…The second layer uses discriminative SVM algorithm with a state-of-the-art string kernel based on PSI-BLAST profiles that is used to leverage the unlabeled data. …”
    Get full text
    Get full text
    Monograph
  20. 20

    Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad by Mehdi , Jahanirad

    Published 2016
    “…Both models optimize acoustic features for source mobile device identification based on near-silent segments. The proposed feature sets along with selected feature extraction methods from the literature are analyzed and compared by using supervised learning techniques (i.e. support vector machines, nearest-neighbor, naïve Bayesian, neural network, logistic regression, and ensemble trees classifier), as well as unsupervised learning techniques (i.e. probabilistic-based and nearest-neighbor-based algorithms). …”
    Get full text
    Get full text
    Thesis