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1
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…Though employed as pre-processing step in many interactive segmentation algorithms, to date, no study has been conducted to assess the effects of such incorporations on the segmentation algorithms. …”
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Article -
2
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…Though employed as pre-processing step in many interactive segmentation algorithms, to date, no study has been conducted to assess the effects of such incorporations on the segmentation algorithms. …”
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Article -
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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Thesis -
4
Sizes of Superpixels and their Effect on Interactive Segmentation
Published 2021“…Despite the fact that it is used as a pre-processing step in many interactive segmentation algorithms, less studies had been conducted to assess the effects of the size of superpixels required by interactive segmentation algorithms to achieve an optimal result. …”
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Proceedings -
5
Sizes of Superpixels and their Effect on Interactive Segmentation
Published 2021“…Despite the fact that it is used as a pre-processing step in many interactive segmentation algorithms, less studies had been conducted to assess the effects of the size of superpixels required by interactive segmentation algorithms to achieve an optimal result. …”
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Proceeding -
6
An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Various algorithms have been proposed for image segmentation and this includes the Fast Scanning algorithm which has been employed on food, sport and medical image segmentation. …”
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7
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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Article -
8
Natural images contour segmentation / Khairul Adilah Ahmad, Sharifah Lailee Syed Abdullah and Mahmod Othman
Published 2017“…This algorithm also present a fully automatic model based system for segmenting fruit images of the natural environment.…”
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9
Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images
Published 2010“…Segmentation of brain MRI is the core part in plenty of medical image processing methods. …”
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Conference or Workshop Item -
10
Video Object Segmentation
Published 2009“…Main focus of the project is to combine the face detection with segmentation algorithm followed by other essentials algorithm in completing the project. …”
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Final Year Project -
11
Segmentation of flair magnetic resonance brain images using K-Means Clustering algorithm / Nur Nabilah Abu Mangshor
Published 2010“…Brain segmentation is a process of segmenting brain from the non-brain components. …”
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Thesis -
12
Development of a new algorithm for segmentation of flotation froth images
Published 2014“…Froth segmentation is a useful procedure that can determine the bubble size distribution. …”
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Article -
13
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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Thesis -
14
Segmentation of MRI brain images using statistical approaches
Published 2011“…The Gaussian Mixture Model (GMM) is a clustering algorithm that is commonly used for brain MRI segmentation. …”
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15
Using a novel algorithm in ultrasound images to detect renal stones
Published 2021“…The pre-processed image is taken as input for the segmentation process. …”
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Proceedings -
16
Malaria parasites segmentation in red blood cells images using mean-shift and median-cut
Published 2010“…After that Mean-shift segmentation will initiate the next process. Since the Means-shift algorithm carry out low level segmentation, some of the region has no semantic meaning. …”
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Book Section -
17
Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…This process consists of four steps: pre-processing, segmentation, feature extraction, and classification. …”
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Thesis -
18
Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
Published 2014“…The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. …”
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Proceeding Paper -
19
A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
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Thesis -
20
Sobel and Canny Edges Segmentations for the Dental Age Assessment
Published 2024Subjects:Conference Paper
