Search Results - ((canny algorithm) OR (learning algorithms))

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  1. 1

    Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

    Published 2019
    “…A machine learning algorithms, SVM have been used to build species identification models. …”
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    Undergraduate Final Project Report
  2. 2

    Video colorization using canny optimization technique / Irwin Kevin Mueson by Irwin Kevin Mueson

    Published 2016
    “…Colorization process will be using the technique of Canny Optimization method. This is a hybrid technique from Colorization using Optimization, which was modified and improved the algorithms by adding Canny Edge Detection to improve the colorization process on the grayscale image or frames. …”
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    Thesis
  3. 3

    Automatic Detection of Damaged Roads and Lane Detection using Deep Learning by Kotakonda Sandhya, Rani, Kommi, Chandana, Nallamalla, Kavya, Kasireddy, Poojitha, Thalla, Pallavi

    Published 2025
    “…This project introduces an automated system for detecting road surface damages and identifying lane markings using Deep Learning, YOLO (You Only Look Once), and Canny edge detection. …”
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    Article
  4. 4

    Utilization of canny and velocity bunching algorithms for modelling shoreline change by Marghany, Maged, Hashim, Mazlan

    Published 2006
    “…This paper introduces new method for simulating shoreline change from multi-SAR data. Edge detection algorithm such as Canny algorithm is implemented to identify shoreline. …”
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    Conference or Workshop Item
  5. 5

    Modified canny edge detection technique for joining discontinued edges by S. K. T. Hwa, Abdullah Bade, Mohd Hanafi Ahmad Hijazi

    Published 2021
    “…Edge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. …”
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    Proceedings
  6. 6

    Edge Detection Algorithm For Image Processing Of Search And Rescue Robot by A/L Sivem, Prasanthran

    Published 2016
    “…Subsequently, Canny edge detection algorithm is selected as an efficient algorithm based on the comparison made and it is further used in this project. …”
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    Final Year Project
  7. 7

    Modified canny edge detection technique for identifying endpoints by Kieu, STH, Abdullah Bade, Mohd Hanafi Ahmad Hijazi

    Published 2022
    “…Edge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. …”
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    Conference or Workshop Item
  8. 8

    Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE) by Marghany , Maged, El Mahdi, Samy Ismail, Hashim, Mazlan

    Published 2006
    “…The results show that: Canny algorithm with kernel window size of 3 x 3 pixels and line provides highly precisely lineaments information compared to Laplacian algorithm. …”
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    Conference or Workshop Item
  9. 9

    On the use of edge features and exponential decaying number of nodes in the hidden layers for handwritten signature recognition by Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2018
    “…In this paper, an exponential decaying number of nodes in the hidden layers was proposed to achieve better recognition rate with reasonable training time. Of the six edge algorithms evaluated, Roberts operator and Canny edge detectors were found to produce better recognition rate. …”
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    Article
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    Consideration of canny edge detection for eye redness image processing: a review by Mohd Adnan, M. R.H., Mohamed Zain, Azlan, Haron, Habibollah, Che Azemin, Mohd Zulfaezal, Bahari, Mahadi

    Published 2019
    “…It represents the contour of the image which could be helpful to recognize the image as an object with its detected edges. The Canny edge detector is a standard edge detection algorithm for many years among the present edge detection algorithms. …”
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    Proceeding Paper
  13. 13

    Investigation Of Edge Detection Techniques Based On Brain Tumor Images by Rosnan, Murni Nur Athirah

    Published 2018
    “…Based on the quantitative analysis, the new Canny algorithm successfully produced high quality image with less error. …”
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    Monograph
  14. 14

    Improving robotic grasping system using deep learning approach by Mohannad K. H., Farag

    Published 2020
    “…This research aimed to develop a Deep Learning grasp detection model and a slip detection algorithm and integrating them into one innovative robotic grasping system. …”
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    Thesis
  15. 15

    INVESTIGATION OF CANNY TECHNIQUE FOR EDGE DETECTION IN IMAGE PROCESSING by Liew, Hui Fien

    Published 2004
    “…Canny presents the best performance among all the edge detectors. …”
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    Final Year Project Report / IMRAD
  16. 16

    Square groove detection based on forstner with canny edge operator using laser vision sensor by Mohammed Naji, Osamah Abdullah Ahmed

    Published 2023
    “…In 1his work, the central line of the laser stripe is extracted based on Canny edge detection with Haralicks fucet model Based on 1he central line, 1he Forstner algorithm is used to recognize 1he comer points of 1he square weld groove. …”
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    Thesis
  17. 17

    Sobel And Canny Edges Segmentations For The Dental Age Assessment by Razali, MRM, Ahmad, NS, Hassan, R, Zaki, ZM, Ismail, W

    Published 2024
    “…Result showed Sobel method was able to segment all the teeth area and remove the noise on the x-ray image while Canny algorithm was not able to segment all the teeth area especially incisors. …”
    Proceedings Paper
  18. 18

    Hereditary ratio of adolescent to parent based on lips analysis using canny edge detection / Nor Shamimi Kharuddin by Kharuddin, Nor Shamimi

    Published 2010
    “…This process significantly reduces the amount of data in the image, while preserving the most important structural features of that image. Canny edge detection is considered to be the ideal edge detection algorithm for images that are corrupted with white noise. …”
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    Thesis
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    Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC) by Ahmad, Faudziah, Ku-Mahamud, Ku Ruhana, Sainin, Mohd Shamrie, Airuddin, Ahmad

    Published 2015
    “…Results showed that the Leaf Lesion Classification (LLC) algorithm based on Artificial Bee colony (ABC) produced an average 96.83% of accuracy and average 1.66 milliseconds of processing time, indicating that LLC algorithm is better than algorithm such as Otsu, Canny, Roberts and Sobel. …”
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    Article