Search Results - (( selective segmentation method algorithm ) OR ( java applications optimized algorithm ))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Segmentation of Lung Region in Computed Tomography (CT) Images
Published 2015“…In this work, a lung segmentation algorithm for CT images is proposed and evaluated. …”
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Final Year Project -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Comparative analysis on blood cell image segmentation
Published 2013“…K-means has been enhanced by integrating Median-cut algorithm to further improve the segmentation process.The proposed integrated method has shown a significant improvement in the number of selected regions.…”
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Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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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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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Adaptive Hybrid Blood Cell Image Segmentation
Published 2019“…The selected approach will be enhanced by applying Median-cut algorithm to further expand the segmentation process. …”
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Model-based hybrid variational level set method applied to lung cancer detection
Published 2024“…Initially, the VLSM introduces a scale-adaptive fast level-set image segmentation algorithm to address the inefficiency of low gray scale image segmentation. …”
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Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
Published 2019“…In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…Based on previous researches, most existing segmentation methods focused on a specific environment. …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…This project proposed a two color segmentation techniques such as K-means and Fuzzy C-means clustering algorithm that are accurately segment the desired images, which have the same color as the pre-selected pixels with background subtraction. …”
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Computer-aided acute leukemia blast cells segmentation in peripheral blood images
Published 2015“…The method also introduces an approach to split overlapping cells using the marker-controlled watershed algorithm based on a new marker selection scheme. …”
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Adaptive Initial Contour and Partly-Normalization Algorithm for Iris Segmentation of Blurry Iris Images
Published 2022“…The findings revealed that the algorithm outperformed the other active contour-based approaches in computational time and segmentation accuracy. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments
Published 2018“…In the proposed TVS, a modified candidate segment selection technique is initially employed to determine the candidate segments from the entire video. …”
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A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging
Published 2021“…The decision on the area of selection is dependent on the assumptions and segmentation model uncertainties taken for training purposes. …”
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