Search Results - (( simulation extraction method algorithm ) OR ( problem segmentation using algorithm ))
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…The system algorithm is verified and validates on two sloped bumps surface topographies that have been simulated using MATLAB software and measured using the Alicona Infinite Focus Measurement (IFM) device, respectively. …”
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Computerized segmentation of sinus images
Published 2009“…This project attempts to solve this problem by developing an algorithm for the computerized segmentation of sinus images for the detection of sinusitis. …”
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Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel
Published 2022“…Consequently, the feature now includes both high-level and low-level image semantic feature information, boosting our overall segmentation frameworkâ��s performance. We use the Polyvore and DeepFashion2 databases for testing our algorithm, since these are the standard datasets used by the current methods for running the simulations. …”
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Boundary extraction of abnormality region in breast mammography image using active contours / Noor Ain Syazwani Mohd Ghani, Abdul Kadir Jumaat and Rozi Mahmud
Published 2022“…The recent and effective selective type of active contour model, termed Primal Dual Selective Segmentation (PDSS) model, was proposed in 2019. However, the PDSS model having problem in segmenting images with low contrast. …”
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Detection and Severity Identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
Published 2021“…Results based on simulated data with also show the promising capability of the proposed method to be used in online predictive monitoring for process plants which may be beneficial to alert the instrumentation/maintenance teams on the current and future health of their valves. …”
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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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7
Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…These algorithms have been applied to the problem of image segmentation. …”
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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. …”
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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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10
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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Image clustering comparison of two color segmentation techniques
Published 2010“…The developed patterns are applied in the field of real-time analysis. Finally, the algorithm found, which would solve the image segmentation problem.…”
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A survey: Challenges of image segmentation based fuzzy c-means clustering algorithm
Published 2024journal::journal article -
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MRI segmentation of medical images using FCM with initialized class centers via genetic algorithm
Published 2008“…This article introduced a new method based on the combination of genetic algorithm and FCM to solve this problem. The genetic algorithm is used to find initialized centre of the clusters. …”
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16
COMPUTERIZED SEGMENTATION OF SINUS IMAGES
Published 2009“…This work attempts to solve this problem by developing an algorithm for the computerized segmentation of sinus images for the detection and grading of' sinusitis. …”
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Final Year Project -
17
Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation
Published 2011“…Due to its capability in providing a particularly promising solution to clustering problems, the conventional Fuzzy C-Mean (FCM) algorithm is widely used as a segmentation method. …”
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18
An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli
Published 2020“…Hence, based on the aforementioned problems, the optimization algorithm methods played an important role in addressing these problems. …”
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SEGMENTATION OF ANTI-NUCLEAR ANTIBODY IMAGES BASED ON WATERSHEDS AND FAST REGION MERGING
Published 2013“…Watershed segmentation algorithms are combining edge and region based techniques. …”
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Denoising histological images for a better colour image segmentation / Sulastri Putit
Published 2013“…According to (Pierrick Coupe et.al, 2008), image de-noising is used to improve the accuracy of various image processing algorithms such as registration or segmentation. …”
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