Search Results - image analysis ((((((a processing) OR (data processing))) OR (_ processing))) OR (pre processing))

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  1. 1
    Bass Fish Measurement System (Bass)

    Bass Fish Measurement System (Bass) by Nadzirah Irfani, Fathi

    Published 2023
    “…The BASS was designed by using an image processing tool which consists of data acquisition, image pre-processing, and measurement in Python with OpenCV library. …”
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    Final Year Project Report / IMRAD
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  2. 2
    Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.]

    Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.] by Mazani, Muhammad Naim, Abdul-Rahman, Shuzlina, Mutalib, Sofianita

    Published 2020
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  3. 3
    Data pre-processing of website browsing records: To prepare quality dataset for web page classification

    Data pre-processing of website browsing records: To prepare quality dataset for web page classification by Siti Hawa, Apandi, Jamaludin, Sallim, Rozlina, Mohamed, Norkhairi, Ahmad

    Published 2024
    “…Data pre-processing involves two main steps: data cleaning and web content pre-processing. …”
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  4. 4
    Data Pre-processing of Website Browsing Records: To Prepare Quality Dataset for Web Page Classification

    Data Pre-processing of Website Browsing Records: To Prepare Quality Dataset for Web Page Classification by Siti Hawa, Apandi, Jamaludin, Sallim, Rozlina, Mohamed, Norkhairi, Ahmad

    Published 2024
    “…Data pre-processing involves two main steps: data cleaning and web content pre-processing. …”
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  5. 5
    Image processing features extraction on fish behaviour

    Image processing features extraction on fish behaviour by Mohd Azraai, Mohd Razman, Anwar, P. P. Abdul Majeed, Rabiu Muazu, Musa, Zahari, Taha, Gian-Antonio, Susto, Yukinori, Mukai

    Published 2020
    “…The pre-processing segment describes the features of the data sets obtained by means of image processing. …”
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    Book Chapter
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  6. 6
    Glucose content analysis using image processing and machine learning techniques

    Glucose content analysis using image processing and machine learning techniques by Yudhana, Anton, Akbar, Son Ali, Farezi, Andrio, Kamarul Hawari, Ghazali, Nuraisyah, Fatma, Rosyady, Phisca Aditya

    Published 2022
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    Conference or Workshop Item
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  7. 7
    Paddy disease detection system using image processing

    Paddy disease detection system using image processing by Radhiah, Zainon

    Published 2012
    “…The methodology involves image acquisition, pre-processing and segmentation, analysis and classification of the paddy disease. …”
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    Undergraduates Project Papers
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  8. 8
    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari

    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

    Published 2018
    “…It is challenging task to analyze plant leaf images by a layman because there are very minute variations in some a plant leaf image and the large data set for analysis. …”
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    Student Project
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  9. 9
    Image processing features extraction on fish behaviour

    Image processing features extraction on fish behaviour by Mohd Razman, Mohd Azraai, Abdul Majeed, Anwar P.P., Musa, Rabiu Muazu, Taha, Zahari, Susto, Gian Antonio, Mukai, Yukinori

    Published 2020
    “…This chapter demonstrates the pipeline fromdata collection until classifier 2 models that achieve the best possible model in identifying the disparity between 3 hunger states. The pre-processing segment describes the features of the data sets 4 obtained by means of image processing. …”
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  10. 10
    Pre-processing Technique using Colour-based Feature Method to Detect Categories of Leaves Disease

    Pre-processing Technique using Colour-based Feature Method to Detect Categories of Leaves Disease by Siti Haslinda, Miasin, Lim, Phei Chin, Jacey Lynn, Minoi

    Published 2021
    “…Pre-processing was done on each of the non-uniform illumination condition raw data images. …”
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    Proceeding
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  11. 11
    Automatic red blood cell counting based on particle area

    Automatic red blood cell counting based on particle area by Musa, Rabiahtuladawiyah

    Published 2015
    “…The RBC images will be pre-processed in early stage using morphological operations and thresholding to obtain the images with good quality. …”
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    Thesis
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  12. 12
    Raspberry Pi-Based Finger Vein Recognition System Using PCANet

    Raspberry Pi-Based Finger Vein Recognition System Using PCANet by Quek, Ee Wen

    Published 2018
    “…For identification, the image processing involves process of image pre-processing, feature extraction and classification. …”
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    Monograph
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  13. 13
    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language

    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

    Published 2016
    “…Pre-processing in this study was based on tracking the joints on a skeleton feature for generating 3D coordinates X, Y, Z. …”
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    Thesis
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  14. 14
    Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network

    Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network by Mohammed Enamul, Hoque

    Published 2021
    “…Moreover, employing inappropriate image processing techniques at the pre-processing level can lead to poor system performance. …”
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    Thesis
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  15. 15
    Efficient deep learning-based data-centric approach for autism spectrum disorder diagnosis from facial images using explainable AI

    Efficient deep learning-based data-centric approach for autism spectrum disorder diagnosis from facial images using explainable AI by Alam, Mohammad Shafiul, Rashid, Muhammad Mahbubur, Faizabadi, Ahmed Rimaz, Mohd Zaki, Hasan Firdaus, Alam, Tasfiq E., Ali, Md Shahin, Gupta, Kishor Datta, Ahsan, Md Manjurul

    Published 2023
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  16. 16
    Processing and classification of landsat and sentinel images for oil palm plantation detection

    Processing and classification of landsat and sentinel images for oil palm plantation detection by Mohd Ibrahim, Azhar, Asming, Muhammad Anwar Azizan, Abir, Intiaz Mohammad

    Published 2022
    “…The process includes the analysis of both supervised and unsupervised modules in terms of their contrast visual and reflectance spectral curve to find the best method of extracting the images’ features. …”
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  17. 17
    Image classification using two dimensional wavelet coefficients with parallel computing

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…This method is capable to shorten the process time of the computation-intensive program in this research to process the live images frame by frame, which received from a laptop webcam to achieve real-time video processing. …”
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    Final Year Project / Dissertation / Thesis
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  18. 18
    Diabetic retinopathy grading using ResNet convolutional neural network

    Diabetic retinopathy grading using ResNet convolutional neural network by Sallam, Muhammad Samer, Asnawi, Ani Liza, Olanrewaju, Rashidah Funke

    Published 2020
    “…In this paper, a complete pipeline for retinal fundus images processing and analysis has been described, implemented and evaluated. …”
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    Proceeding Paper
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  19. 19
    Development of a 3D EEG feature extraction for brain balanced index (BBI) using artificial neural network (ANN) / Norfaiza Fuad

    Development of a 3D EEG feature extraction for brain balanced index (BBI) using artificial neural network (ANN) / Norfaiza Fuad by Fuad, Norfaiza

    Published 2017
    “…This research involved 96 healthy subjects for EEG data collection. The EEG 3D signals are produced through signal processing and image processing techniques. …”
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    Book Section
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  20. 20
    Review on RS technologies for seagrass mapping in tropical region

    Review on RS technologies for seagrass mapping in tropical region by Wiwin Ambarwulan, Ratna Sari Dewi, Widiatmaka

    Published 2022
    “…Future research on seagrass mapping could be focused on a more automated classification by applying machine-learning to handle a large amount of data to improve accuracy and to discover robust methods for image pre-processing that is suitable for tropical shallow waters such as those in Indonesia.…”
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