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Rain streaks removal using total variation and sparse coding based on case based reasoning approach
Published 2024journal::journal article -
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Box-counting fractal dimension algorithm variations on retina images
Published 2016“…Forty retinal vasculature images from publicly available dataset were subjected to four variations of 8 box-counting FD algorithm. …”
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Proceeding Paper -
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Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
Published 2020“…The algorithm was tested on 11 Landsat 8 OLI satellite images assessed with 120 sample points each. …”
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Thesis -
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Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method
Published 2020“…The Forward-Backward Time-Stepping - Total Variation (FBTS-TV) regularization algorithm is in a two-dimensional case and implemented in C++ language executed in single computing. …”
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Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment
Published 2016“…It can also estimate and adjust image scale variations by monitoring the variations in distance between the two reference laser points. …”
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Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
Published 2023“…A variational model was used to extract or segment the breast ultrasound (BUS) image boundary in order to find a closed curve line of the abnormality region for further diagnosis. …”
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Article -
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Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection
Published 1998“…These algorithms could not compensate for the change or variation on the inspected parts dynamically. …”
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Images composition using chroma key techniques / Nurulazura Jawahir
Published 2014“…Therefore, Statistical Method which is Standard deviation and Mean are being used. This project approach used both foreground and background images to identify the pixel's color of the images. …”
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Camera Independent Face Recognition Algorithm In Visual Surveillance
Published 2015“…Several available image preprocessing techniques, classifiers, and approaches had been proposed and tested to mitigate the effect of illumination variation, pose variations, and intensity quality differences due to hardware differences in such system. …”
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Estimation of image scale variations in monocular visual odometry systems
Published 2017“…The image-scale variations can be estimated by monitoring the variations in the distance between these two reference points. …”
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Article -
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Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The first algorithm locates interest points in food images using an MSER. …”
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Shape-based recognition using combined Jaccard and Mahalanobis measurement / Noor Aznimah Abdul Aziz
Published 2013“…Therefore, we proposed a shape recognition algorithm using similarity measurement combining Jaccard and Mahalanobis distance is used to measure the similarity between geometry shape sketches. …”
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Multilevel optimization for dense motion estimation
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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Monograph -
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Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation.
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Working Paper -
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Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia
Published 2019“…The Artificial Neural Network (ANN) predictive code receives images which were read as a matrix. The images were processed using the Image Analysis, coded before use as a training and input data set for ANN. …”
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Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia
Published 2019“…The Artificial Neural Network (ANN) predictive code receives images which were read as a matrix. The images were processed using the Image Analysis, coded before use as a training and input data set for ANN. …”
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Automated threshold detection for object segmentation in colour image
Published 2016“…Results of the applied procedure show that the algorithm is viable to extract object from single background color image and can be used in human gait analysis. © 2006-2016 Asian Research Publishing Network (ARPN).…”
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