Search Results - (( java implication based algorithm ) OR ( image optimization _ algorithm ))
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Identifying movement of object in multiple images via particle swarm optimization algorithm / Mohd Haidhar Iqbal Hassan
Published 2016“…This project used one of algorithm from category Evolutionary Computing (EC) and that algorithm is Particle Swarm Optimization (PSO). …”
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Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy
Published 2014“…A new approach of CS and WDO algorithm is used for selection of optimal threshold value. …”
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Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…The study introduces a new colour correction model and an optimized image enhancement model, significantly improving retinal fundus image quality and establishing the most effective model for image quality enhancement…”
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Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…The study introduces a new colour correction model and an optimized image enhancement model, significantly improving retinal fundus image quality and establishing the most effective model for image quality enhancement…”
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An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation
Published 2024Subjects: “…Optimization algorithms…”
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A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking
Published 2012“…This paper proposes the application of Discrete Wavelet Transform (DWT) into image watermarking by using Particle Swarm Optimization (PSO) which is an evolutionary technique with the stochastic, population-based algorithm for solving this problem. …”
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Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
Published 2018“…In order, the traditional algorithm to solve image matching problem take a lot of memory and computational time, image matching problem is assigned to optimization problem and can be solve precisely. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…By implementing optimization algorithm in image template matching, it is expected that the computation time can be reduced. …”
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Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation
Published 2008“…Fuzzy c-means (FCM) clustering algorithm has been widely used in automated image segmentation. …”
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New method of image steganography based on particle swarm optimization algorithm in spatial domain for high embedding capacity
Published 2019“…New method of image steganography based on particle swarm optimization algorithm in spatial domain for high embedding capacity by Albahrey, Osamah Shihab Ahmed…”
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Removal of high density salt and pepper noise from image and video based on optimal decision based algorithm
Published 2014“…This size of window guarantees the image saving with more details and avoiding the image blurring. …”
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Tennis court mapping and trajectory optimization for robotic object retrieval / Eng Sheh Ling and Edgar Scavino
Published 2015“…MATLAB is used to process image extraction and processing, to evaluate the mapping algorithm, and to define the trajectory optimization on the image of the tennis court.…”
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A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis meth...
Published 2020“…Given the rapid development of dehazing image algorithms, selecting the optimal algorithm based on multiple criteria is crucial in determining the efficiency of an algorithm. …”
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Data fitting by G1 rational cubic Be´zier curves using harmony search
Published 2015“…All of the algorithms improvised a near optimal solution but the result that is obtained by the HS is better than the results of the other two algorithms.…”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…Among others, multilevel thresholding is a robust and most widely adopted image segmentation approach. To find the optimal multilevel threshold values, various heuristic and meta-heuristic algorithms have been applied to segment COVID-19 medical images. …”
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Analyzing CT images for detecting lung cancer by applying the computational intelligence-based optimization techniques
Published 2022“…The gathered image noise is removed by applying the mean filter, and the affected regions are segmented with the help of the Butterfly Optimization Algorithm-based K-Means Clustering (BOAKMC)algorithm. …”
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A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization
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