Search Results - ((((canny algorithm) OR (means algorithm))) OR (based algorithm))
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1
Modified canny edge detection technique for identifying endpoints
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 -
2
Modified canny edge detection technique for joining discontinued edges
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 -
3
Edge Detection Algorithm For Image Processing Of Search And Rescue Robot
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 -
4
AUTOMATED CERVICAL CELL NUCLEI SEGMENTATION BASED ON MULTILAYER UNSUPERVISED CLUSTERING ALGORITHM AND MORPHOLOGICAL APPROACH
Published 2025“…A segmentation method based on multiple Fuzzy C-Means Clustering (FCM) layers and flexible morphological approaches is used to segment the nuclei in Pap smear images. …”
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Article -
5
Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
Published 2006“…This work utilized a new geomatical tool for lineament identification which based on automatic detection algorithms. Integration between Laplacian, edge detection and Canny algorithms with different kernel window sizes is main component of new geomatical tool. …”
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Conference or Workshop Item -
6
Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC)
Published 2015“…In this paper, an algorithm to classify leaf disease severity based on lesions is presented. …”
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Article -
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Square groove detection based on forstner with canny edge operator using laser vision sensor
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 -
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Sobel and Canny Edges Segmentations for the Dental Age Assessment
Published 2024Subjects:Conference Paper -
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Investigation Of Edge Detection Techniques Based On Brain Tumor Images
Published 2018“…The quantitative parameters used to evaluate the operators performances are PSNR, MSE and SSIM. Based on the quantitative analysis, the new Canny algorithm successfully produced high quality image with less error. …”
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Monograph -
10
Artificial neural network based fast edge detection algorithm for MRI medical images
Published 2017“…Therefore, the objective of this paper is to develop a fast ANN based edge detection algorithm for MRI medical images. …”
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Article -
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2012“…The proposed OCR method consists of Canny edge detection algorithm, Hough Transformation and Shearing Transformation were used to detect and correct skewed and slanted images. …”
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Conference or Workshop Item -
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2011“…The proposed OCR method consists of Canny edge detection algorithm, Hough Transformation and Shearing Transformation were used to detect and correct skewed and slanted images. …”
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Conference or Workshop Item -
13
Hereditary ratio of adolescent to parent based on lips analysis using canny edge detection / Nor Shamimi Kharuddin
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 -
14
Sobel And Canny Edges Segmentations For The Dental Age Assessment
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 -
15
Road lane tracking based on monocular vision
Published 2015“…Then, ROI is defined by finding the lowest mean of all rows in the image. Canny edge detector followed by Hough Transform are applied to the ROI to acquire lines. …”
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Article -
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Square groove detection based on Förstner with canny edge operator using laser vision sensor
Published 2023“…Based on the central line, the Förstner algorithm is used to recognize the corner points of the square weld groove. …”
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Article -
17
Development of offline handwritten signature authentication using artificial neural network
Published 2018“…As part of the feature extraction, two image filters were used, i.e. Canny edge detector and averaging filter. A feedforward neural network with 1 hidden layer was trained using backpropagation algorithm. …”
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Proceeding Paper -
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Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems
Published 2024“…In this study, we presented a Black Hole Algorithm (BHA) along the Canny edge detector and circular Hough transform-based optimization technique for circular parameter identification of iris segmentation. …”
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Article -
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Classification of Citrus (Rutaceae) by Using Image Processing
Published 2019“…This research will be conducted by using digital image processing approach based on the morphological features of leaf with the combination of gray level co-occurrence matrix (GLCM), Prewitt and Canny algorithm and training classification models by using support vector machine (SVM). …”
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Undergraduate Final Project Report -
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Edge detection of MRI images using artificial neural network
Published 2017“…The best algorithm was selected subjectively, i.e. Canny edge detector, and is used as the training data for the proposed ANN. …”
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