Search Results - (( _ segmentation method algorithm ) OR ( program implementation modified algorithm ))
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1
Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
Published 2016“…The method is accurate and has advantage as easy to implement which accomplished with Carson's equations. …”
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Thesis -
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Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…In this research, a hand-written character recognition model are implemented in C++ programming with ability to classify digits 0, 1, 2, and 3. …”
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3
UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES
Published 2022“…The unsupervised segmentation of color-texture regions using J-value segmentation (JSEG) algorithm is one of the most popular and robust unsupervised segmentation algorithms. …”
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4
Development Of Automatic Liver Segmentation Method For Three- Dimensional Computed Tomography Dataset
Published 2018“…Both methods are able to speed up the segmentation time. …”
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Monograph -
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Multiregion segmentation of mammogram images by using parametric kernel graph cut algorithm / Nurhanani Abdul Rahim, Nor Farah Nabilah Mushtafa and Nadhirah Afiqah Zailan
Published 2019“…Many methods are widely applied for image segmentation. …”
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Student Project -
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Parallel implementation of genomic sequences classification using modified gabor wavelet transform on multicore systems
Published 2012“…Single Program Multiple Data (SPMD) parallel paradigm will be used in the parallel implementation. …”
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Proceeding Paper -
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Breast Ultrasound Automated ROI Segmentation with Region Growing
Published 2015“…Inspired by SergeBeucher and Balasubramanian’s road segmentation algorithm, this paper will implement the road segmentation algorithm into medical image segmentation. …”
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Conference or Workshop Item -
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Machine Vision Application For Automatic Defect Segmentation In Weld Radiographs
Published 2006“…Finally. a defect segmentation algorithm was developed to segment the defects automatically from the image using background subtraction and rank leveling method.…”
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9
Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation
Published 2008“…The experiment results have shown that the segmentation method proposed in this paper is more accurate and faster than the standard FCM or the fast fuzzy c-means (FFCM) algorithm.…”
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Article -
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Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…Fuzzy clustering algorithms, which fall under unsupervised machine learning, are among the most successful methods for image segmentation. …”
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11
Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images
Published 2010“…Hence involving problem specific information and expert knowledge in designing segmentation algorithms seems to be useful. A two-fold fuzzy segmentation algorithm based on Bayesian method is proposed in this paper. …”
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Conference or Workshop Item -
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Image segmentation based on normalised cuts with clustering algorithm
Published 2013“…As the clusters initialisation gives influence to the segmentation result, optimisation of the clustering algorithm is implemented to achieve a better segmentation. …”
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Formulation of hybrid 3D image segmentation algorithm based partial differential equation
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Proceeding Paper -
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Segmenting nodules of lung tomography image with level set algorithm and neural network
Published 2019“…The result shows that the proposed segmentation method can effectively segment the lung nodule.…”
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Proceedings -
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Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment
Published 2017“…For these proposed approaches, this study adopted a hybridization of a fuzzy programming, modify simulated annealing, and simplex downhill (SD) algorithm called Fuzzy-MSASD to resolve multiple objective linear programming APP problems in a fuzzy environment. …”
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16
Image enhancement and segmentation on simultaneous latent fingerprint detection
Published 2015“…Segmentation of 240 images is performed and compared with manual segmentation methods. …”
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17
Enhanced Clustering Algorithms For Gray-Scale Image Segmentation
Published 2012“…The clustering algorithms are widely used as an unsupervised method for image segmentation in medical diagnosis, satellite imaging and biometric systems. …”
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18
Novel techniques for enhancement and segmentation of acne vulgaris lesions
Published 2013“…In addition, sensitivity and specificity are calculated for the segmentation results. The proposed segmentation method shows higher sensitivity and specificity than other methods. …”
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Citation Index Journal -
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Using a novel algorithm in ultrasound images to detect renal stones
Published 2021“…Expectation–Maximization algorithm is a novel method used by us for the first time for identifying renal stones. …”
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