Search Results - (( optical flow algorithm ) OR ( optical ((cloud algorithm) OR (graph algorithm)) ))

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  1. 1
    Concentration and velocity measurement of flowing objects using optical and ultrasonic tomography

    Concentration and velocity measurement of flowing objects using optical and ultrasonic tomography by Saad, Mohd. Sazli

    Published 2007
    “…Prototype circuits have been implemented for optical and ultrasonic measurement system. Visual Basic 6.0 is used for software algorithms on concentration and velocity measurement. …”
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  2. 2
    Retrieval Of Environmental Parameters Over Water Areas Using MODIS Data

    Retrieval Of Environmental Parameters Over Water Areas Using MODIS Data by Amin, Abd Rahman Mat

    Published 2012
    “…In this study, new and simple algorithms to retrieve cirrus cloud, sediment and aerosol optical depth (AOD) from Moderate Resolution Radiospectrometer (MODIS) imagery is suggested and demonstrated. …”
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  3. 3
    Depth value approximation of 2D complex-shape objects for 3D modelling using optical flow and trigonometry

    Depth value approximation of 2D complex-shape objects for 3D modelling using optical flow and trigonometry by Ng, Seng Beng

    Published 2015
    “…This research introduces an IBM technique using optical flow and trigonometry with images captured via webcams. …”
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  4. 4
    Feature Extraction and Matching from images / lntan Syaherra Ramli

    Feature Extraction and Matching from images / lntan Syaherra Ramli by Ramli, lntan Syaherra

    Published 2023
    “…Next, the feature points from two images are matched using Optical Flow Lucas Kanade. The corresponding feature points are used to find the 30 point cloud for computer graphic application. …”
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  5. 5
    A GreedyZero algorithm to minimise the conflicts in an Optical Multistage Interconnection Network

    A GreedyZero algorithm to minimise the conflicts in an Optical Multistage Interconnection Network by Moudi, Mehrnaz, Othman, Mohamed

    Published 2014
    “…In this paper, we have proposed a new algorithm to minimise the number of conflicts of OMINs using the greedy graph colouring and Zero algorithm. …”
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  6. 6
    An evaluation of optical flow algorithms for crowd analytics in surveillance system

    An evaluation of optical flow algorithms for crowd analytics in surveillance system by Kajo, I., Malik, A.S., Kamel, N.

    Published 2017
    “…The implementation of optical flow algorithms is investigated and an evaluation of those techniques is provided qualitatively as well as quantitatively. …”
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  7. 7
    3D Point Cloud Data Registration Algorithm Based on Augmented Reality Technology

    3D Point Cloud Data Registration Algorithm Based on Augmented Reality Technology by Liying Feng, Ng Giap Weng, Liyao Ma

    Published 2023
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  8. 8
    Analysis of motion detection of breast tumor based on tissue elasticity from B mode ultrasound images using gradient method optical flow algorithm

    Analysis of motion detection of breast tumor based on tissue elasticity from B mode ultrasound images using gradient method optical flow algorithm by Shuib F.M.M., Othman, M., Abdul Rahim, K., Zulkifli Z.

    Published 2024
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  9. 9
    Analysis of Motion Detection of Breast Tumor Based on Tissue Elasticity From B Mode Ultrasound Images Using Gradient Method Optical Flow Algorithm

    Analysis of Motion Detection of Breast Tumor Based on Tissue Elasticity From B Mode Ultrasound Images Using Gradient Method Optical Flow Algorithm by Shuib, FMM, Abdulrahim, K, Zulkifli, Z, Marinah Othman

    Published 2024
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  10. 10
    Assessing Bat Roosts Using the LiDAR System at Wind Cave Nature Reserve in Sarawak, Malaysian Borneo

    Assessing Bat Roosts Using the LiDAR System at Wind Cave Nature Reserve in Sarawak, Malaysian Borneo by Nursyafiqah, Shazali, Teong, Han Chew, Mohd Shahir, Shamsir, Roberta Chaya, Tawie Tingga, Mohd Ridwan, Abd Rahman, Faisal Ali, Anwarali Khan

    Published 2017
    “…Bats that roost in large clusters, specifically Penthetor lucasi were determined through automated counting using connected components labelling, a graph theory algorithm mostly used in image analysis applications. …”
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  11. 11
    Multilevel optimization for dense motion estimation

    Multilevel optimization for dense motion estimation by Saaban, Azizan, Kalmoun, El Mostafa, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

    Published 2011
    “…Experimental results on three image sequences using four models of optical flow with different computational efforts show that the FMG/Opt algorithm outperforms significantly both the TN and MR/Opt algorithms in terms of the computational work and the quality of the optical flow estimation.…”
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  12. 12
    Image segmentation based on normalised cuts with clustering algorithm

    Image segmentation based on normalised cuts with clustering algorithm by Choong, Mei Yeen

    Published 2013
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  13. 13
    Investigation On Optical Fibre Configurations For Process Tomography

    Investigation On Optical Fibre Configurations For Process Tomography by Ibrahim, Sallehuddin

    Published 2002
    “…An investigation is carried out on four flow models: a single pixel flow, two pixels flow, half flow and full flow models. …”
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  14. 14
    Identification of power poles based on satellite stereo images using graph-cut algorithm

    Identification of power poles based on satellite stereo images using graph-cut algorithm by Qayyum A., Malik A.S., Saad M.N.M., Ahmad R.F., Abdullah A.R.T.

    Published 2023
    “…Algorithms; Graphic methods; Image matching; Image processing; Optical radar; Poles; Satellite imagery; Satellites; Signal detection; Signal processing; Vegetation; Damage compensations; Electrical distribution; Graph cut; High voltage transmission lines; Monitoring methods; Stereo matching; Stereo matching algorithm; Stereo-image; Stereo image processing…”
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  15. 15
    COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE

    COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE by NIZAM AKBAR, AMAR NAZMI ZULKARNAIN

    Published 2017
    “…The four algorithms were used to estimate the flow rate where five simulations with five different flow rates were measured in order to determine the accuracy of each algorithm. …”
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  16. 16
    Simulation of image fusion of dual modality (electrical capacitance and optical tomography) in solid/gas flow

    Simulation of image fusion of dual modality (electrical capacitance and optical tomography) in solid/gas flow by Mohd Hafiz, Fazalul Rahiman, Rasif, Rasif, Ruzairi, Abd Rahim, Jaafar, Abdullah

    Published 2010
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  17. 17
    A Fast Scheduling Algorithm for WDM Optical Networks

    A Fast Scheduling Algorithm for WDM Optical Networks by Cheah, Cheng Lai

    Published 2000
    “…The algorithm employs a theory in graph, known as edge colouring of bipartite multigraph to produce the transmission schedule, which is free from collision due to the nature of the edge colouring. …”
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  18. 18
    A comparison study on different crowd motion estimation algorithms using matlab

    A comparison study on different crowd motion estimation algorithms using matlab by Kajo, I., Kamel, N., Malik, A.S.

    Published 2014
    “…This article describes different motion detection methods, gives a brief illustration of the optical flow conception, and presents in details the Lucas-Kanade and Horn-Schunk algorithms for optical flow estimation and their implementation using MATLAB. …”
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  19. 19
    Near-sea-level langley calibration algorithm

    Near-sea-level langley calibration algorithm by Jedol Dayou, Chang, Jackson Hian Wui, Justin Sentian

    Published 2014
    “…The key advantages of the proposed algorithm are its objectivity, computational efficiency and the ability to detect short intervals of cloud transits. …”
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  20. 20
    Passive Two-Camera System to Generate a Depth Map of a Scene and Depth Estimation using Optical Flow Techniques.

    Passive Two-Camera System to Generate a Depth Map of a Scene and Depth Estimation using Optical Flow Techniques. by Lee, Sooyong

    Published 2003
    “…Matlab scripts implementing optical flow algorithms were written. The optical flow for a motion sequence was computed and the vector field that shows both the direction and magnitude of the corresponding motion displayed.…”
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