Search Results - (( java segmentation using algorithm ) OR ( local perceptions based algorithm ))

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  1. 1
    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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  2. 2
    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
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    No-Reference Image Quality Assessment algorithm for Contrast-Distorted Images based on local statistics features

    No-Reference Image Quality Assessment algorithm for Contrast-Distorted Images based on local statistics features by Ahmed I.T., Der C.S.

    Published 2023
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  5. 5
    Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli

    Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli by Ramli, Muhammad Izzad

    Published 2018
    “…As conclusion, the performance of the synthesized storytelling speech using grammar-based with limitation rule is better than local and global rules.…”
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  6. 6
    A review on monocular tracking and mapping: from model-based to data-driven methods

    A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

    Published 2022
    “…Astounding results from early methods based on filtering have intrigued the community to extend these algorithms using other forms of techniques like bundle adjustment and deep learning. …”
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  7. 7
    The application of Hough Transform for corner detection

    The application of Hough Transform for corner detection by Jamaludin, Mohad Fuad

    Published 2006
    “…Corners are very attractive features of many applications in human perception and computer vision. The problem of detecting corners is simplified into detecting simple lines in a local coordinate system. …”
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  8. 8
    PATCH-IQ: A Patch Based Learning Framework For Blind Image Quality Assessment

    PATCH-IQ: A Patch Based Learning Framework For Blind Image Quality Assessment by Abdul Manap, Redzuan, Ling, Shao, Frangi, Alejandro Federico

    Published 2017
    “…Most well-known blind image quality assessment (BIQA) models usually follow a two-stage framework whereby various types of features are first extracted and used as an input to a regressor. The regression algorithm is used to model human perceptual measures based on a training set of distorted images. …”
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  9. 9
    Permutation entropy based full-reference image quality qssessment

    Permutation entropy based full-reference image quality qssessment by Baqar, Mohtashim *, Lau, Sian Lun *, Mansoor Ebrahim

    Published 2019
    “…Motivated by the need of appropriate objective models, we propose a novel objective IQA algorithm, namely, Permutation Entropy Deviation Index (PEDI), based on the working principle of permutation entropy (PE). …”
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  10. 10
    An agent architecture for autonomous UAV flight control in object classification and recognition missions

    An agent architecture for autonomous UAV flight control in object classification and recognition missions by Mostafa S.A., Mustapha A., Gunasekaran S.S., Ahmad M.S., Mohammed M.A., Parwekar P., Kadry S.

    Published 2024
    “…We design the AFC agent architecture to consist of data acquisition, perception, localization, mapping, control, and planning modules. …”
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