Search Results - (( java application sensor algorithm ) OR ( process segmentation modified algorithm ))
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UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES
Published 2022“…This thesis proposed a modified JSEG algorithm to solve the problem of over segmentation when applying it to underwater coral reef images.…”
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A modified watershed segmentation algorithm for automated lung cancer lesion detection in CT scan images / Nur Najihah Sofia Mohd Marzuki
Published 2024“…The performance of the segmentation process in conventional and modified watershed segmentation technique for detecting lung lesion, which produce average F-Score is 97.80% and 99.09%, respectively. …”
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3
A Hybrid Active Contour and Artificial Bee Colony Algorithm for Segmenting Mixed-Meal Food Images (S/O: 13239)
Published 2020“…Active contour (snake) segmentation is extensively used in image processing and analysis applications particularly for identifying object boundaries. …”
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Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images
Published 2012“…The segment regions were processed to become masks using morphological method (opening and closing method). …”
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5
Development of a new algorithm for segmentation of flotation froth images
Published 2014“…The developed algorithm is validated using some froth images captured at different operating conditions, so the results indicate that the method can segment the mixture of big and small bubbles effectively.…”
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An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…At first, the pre-segmentation algorithm uses a modified dominant point detection algorithm to mark a minimal number of points which defines the text skeleton. …”
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Modified Piecewise Linear Mapping Contrast Enhancement And Local Otsu Segmentation Methods For Hep-2 Cell Images
Published 2019“…Then the process continues with segmentation process, which introduce a new local Otsu segmentation. …”
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8
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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9
Image enhancement and segmentation on simultaneous latent fingerprint detection
Published 2015“…This thesis presents an algorithm to segment individual fingerprints for SLF image. …”
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Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation
Published 2008“…This paper proposes a modified FCM algorithm for MR (Magnetic Resonance) brain images segmentation. …”
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Brain lesion image segmentation using modified U-NET architecture
Published 2024“…In this project, a brain stroke lesion segmentation algorithm using a modified U-Net (MUN) architecture will be developed. …”
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Microcrack Detection And Noise Reduction In Integrated Circuit Packages
Published 2018“…Images processed using modified Perona-Malik’s anisotropic diffusion method produces images with less noise compared to probability based thresholding method and histogram equalization method. …”
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Weighted subsethood segmented fuzzy time series for moving holiday electricity load demand forecasting
Published 2020“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of three main phases; data pre-processing, forecasting based on WeSuSFTS model and model evaluation. …”
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Calculation of blast area for acute leukemia blood cells images
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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17
Intelligent segmentation of fruit images using an integrated thresholding and adaptive K-means method (TSNKM)
Published 2016“…Recent years, vision-based fruit grading system is gaining importance in fruit classification process.In developing the fruit grading system, image segmentation is required for analyzing the fruit objects automatically.Image segmentation is a process that divides a digital image into separate regions with the aim to obtain only the interest objects and remove the background. …”
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Segmentation Assisted Object Distinction For Direct Volume Rendering
Published 2013“…The ray casting architecture is modified to accommodate object membership information generated by a K-means based hybrid segmentation algorithm. …”
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Detection And Segmentation Of Mass Region In Mammogram Image
Published 2014“…Finally, an automated seed based region growing process for mass detection and segmentation is proposed. …”
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Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam
Published 2017“…This hybrid color segmentation algorithm contains a RGB histogram equalization, RGB color segmentation, modified grayscale segmentation, binary image segmentation, and a shape matching algorithm. …”
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