Search Results - (( image segmentation using algorithm ) OR ( using code using algorithm ))

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  1. 1
    A new corner detection algorithm for chain code representation.

    A new corner detection algorithm for chain code representation. by Haron , Habibollah, Shamsuddin , Siti Mariyam, Mohamed, Dzulkifli

    Published 2005
    “…The algorithm is based on chain-coded image, deriving the slope between each code, analyze the series of chain code, and finally decide the existence of corner at the current pixel location. …”
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  2. 2
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. …”
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  3. 3
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. …”
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  4. 4
    Superpixel Sizes using Topology Preserved Regular Superpixel Algorithm and their Impacts on Interactive Segmentation

    Superpixel Sizes using Topology Preserved Regular Superpixel Algorithm and their Impacts on Interactive Segmentation by Kok Luong, Goh, Soo See, Chai, Giap Weng, Ng, Muzaffar, Hamzah

    Published 2022
    “…Interactive Image Segmentation is a type of semiautomated segmentation that uses user input to extract the object of interest. …”
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  5. 5
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  6. 6
    Development of images segmentation using image thresholder and batch processing technique on the blood smears

    Development of images segmentation using image thresholder and batch processing technique on the blood smears by Al-Shoukry, Suhad, Zalili, Musa, Amer, Duha, Kareem, Safaa Muhsen

    Published 2022
    “…A new segmentation technique with each pixel in the image has its own threshold is developed in response to the fact that standard threshold-based segmentation algorithms only establish one or many thresholds, making it difficult to extract the complex information in an image. …”
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  7. 7
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…The optimization on ANPR was performed on the pre-processing step using our own Java code as currently there is no image processing library available on the standard Android mobile phone. …”
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  8. 8
    Image processing for robot vision application using matlab

    Image processing for robot vision application using matlab by Cheong, W.L

    Published 2010
    “…The source code is written in MATLAB. The segmentation using edge detection „Sobel Edge Detector‟ and color segmentation using L*a*b* color space are found to be useful in develop the GUI application. …”
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  9. 9
    Real-Time Face Detection And Tracking Using Software And Hardware Design

    Real-Time Face Detection And Tracking Using Software And Hardware Design by Chen, Kok Keat

    Published 2018
    “…The face detection algorithm involved colour-based skin segmentation and image filtering. …”
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  10. 10
    Fractal coding of bio-metric image for face authentication

    Fractal coding of bio-metric image for face authentication by Ahadullah, Md

    Published 2021
    “…This thesis examines how fractal image coding is used in biometric cryptography for personal face authentication. …”
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  11. 11
    Iris Segmentation Analysis using Integro-Differential Operator and Hough Transform in Biometric System

    Iris Segmentation Analysis using Integro-Differential Operator and Hough Transform in Biometric System by Zainal Abidin, Zaheera, -, M.Manaf, Shibghatullah, Abdul Samad, -, S.H.A.Mohd Yunos, -, S.Anawar, -, Z.Ayop

    Published 2012
    “…Then the image captured is segmented and normalized for encoding process. …”
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  12. 12
    Automatic ear recognition under varying illumination / Ali Abd Almisreb

    Automatic ear recognition under varying illumination / Ali Abd Almisreb by Abd Almisreb, Ali

    Published 2012
    “…For feature extraction, we used ID log- Gabor filter to generate an ear code and hamming distance is utilized as matching algorithm. …”
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  13. 13
    Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks

    Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks by Ayomide, Kabirat Sulaiman, Mohd Aris, Teh Noranis, Zolkepli, Maslina

    Published 2023
    “…The research focuses on enhancing brain tumor segmentation in MRI images by using Convolutional Neural Networks and reducing training time by using MATLAB's GoogLeNet, anisotropic diffusion filtering, morphological operation, and sector vector machine for MRI images. …”
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  14. 14
    Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System

    Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System by Zainal Abidin, Zaheera, Anawar, Syarulnaziah, Ayop, Zakiah, Manaf, Mazani, Shibghatullah, A.S., Mohd Yunos, S.H.A.

    Published 2012
    “…Iris segmentation is foremost part of iris recognition system.There are four steps in iris recognition: segmentation,normalization,encoding and matching.Here, iris segmentation has been implemented using Hough Transform and IntegroDifferential Operator techniques.The performance of iris recognition system depends on segmentation and normalization technique.Iris recognition systems capture an image from individual eye.Then the image captured is segmented and normalized for encoding process.The matching technique,Hamming Distance,is used to match the iris codes of iris in the database weather it is same with the newly enrolled for verification stage.These processes produce values of average circle pupil,average circle iris,error rate and edge points.The values provide acceptable measures of accuracy False Accept Rate (FAR) or False Reject Rate (FRR).Hough Transform algorithm,provide better performance,at the expense of higher computational complexity.It is used to evolve a contour that can fit to a non-circular iris boundary.However,edge information is required to control the evolution and stopping the contour.The performance of Hough Transform for CASIA database was 80.88% due to the lack of edge information.The GAR value using Hough Transform is 98.9% genuine while 98.6% through Integro-Differential Operator.…”
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  15. 15
    Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations

    Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations by Ibrahim, Nur Shahidatul Nabila, Suppiah, Subapriya, Ibrahim, Buhari, Mohad Azmi, Nur Hafizah, Seriramulu, Vengkatha Priya, Mohamad, Mazlyfarina, Hanafi, Marsyita, Mohammad Sallehuddin, Hakimah, Omar Sharif, Nurallysha Najwa, Razali, Rizah Mazzuin, Harrun, Noor Harzana

    Published 2025
    “…Traditional voxel-based morphometry (VBM) used for measuring hippocampal volume can be time-laborious and sensitive to pre-processing errors, thus CNN-based algorithms can minimize the time and reduce human errors. …”
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  16. 16
    Development of portable automatic number plate recognition system on android mobile phone

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

    Published 2013
    “…Second, the preprocessing of raw image was done using contrast enhancement. Next, character segmentation using fixed pitch and an optical character recognition (OCR) using neural network were utilized to extract texts and numbers. …”
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  17. 17
    Development of portable automatic number plate recognition system on android mobile phone

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

    Published 2013
    “…Second, the preprocessing of raw image was done using contrast enhancement. Next, character segmentation using fixed pitch and an optical character recognition (OCR) using neural network were utilized to extract texts and numbers. …”
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  18. 18
    Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60

    Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 by Ngui,, Lin Hui.

    Published 2009
    “…Experimental results are obtained through test s conducted and after several analyses; it is found out that RGB - H - CbCr presents the best algorithm to be used in e xtracting the human skin colour, after a slight modification.…”
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    Final Year Project Report / IMRAD
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  19. 19
    Competitive improvement of the time complexity to encode fractal image: by applying symmetric central pixel of the block

    Competitive improvement of the time complexity to encode fractal image: by applying symmetric central pixel of the block by Md Ahadullah, Sapar, Siti Hasana, Al-Saidi, Nadia Mohammed Ghanim, Md Said, Mohamad Rushdan

    Published 2021
    “…As a result of these principles, fractal image codings are being used in many substantial applications already, such as image compression, image signature, image watermarking, image attribute extraction, and even image texture segmentation. …”
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  20. 20
    HUMAN MOOD DETECTOR BY USING DIGITAL IMAGE PROCESSING

    HUMAN MOOD DETECTOR BY USING DIGITAL IMAGE PROCESSING by ALI, NOORAZLIN

    Published 2006
    “…These distinct criteria will he used to develop an algorithm that differentiates all the three emotions described before. …”
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