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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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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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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali
Published 2015“…This method adds separation and inverse processes to the algorithm in order to produce the best segmented images. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul‘Aini Hambali
Published 2016“…Based on the previous researches, most existing segmentation methods are unable to accurately segment images under natural illumination. …”
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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…Comparisons were made between the proposed method to the k-nearest neighbor (KNN) and support vector machine (SVM), methods for image segmentation. …”
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Quranic diacritic and character segmentation and recognition using flood fill and k-nearest neighbors algorithm
Published 2019“…The diacritic detections are performed using a region-based algorithm with 89% accuracy and 95% improved by using flood fill segmentations method. 2DMED feature extraction accuracy was 90% for diacritics and 96% improved by applied CNN. …”
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Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The performance of algorithms was measured based on classification accuracy, error rate, and precision and recall. …”
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Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The benchmark of the classification algorithm for CA is needed to analyze the optimal output of the algorithm. …”
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Early detection of spots high water saturation for landslide prediction using thermal imaging analysis
“…The performance of these segmentation algorithms are measured using misclassification error. …”
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Geometric Feature Extraction for Identification and Classification of the Overlapping Cells for Leukaemia
Published 2018“…The average percentage of cell counting had tested by the proposed method. Extended-Minima Transform Watershed Segmentation Algorithm had successful increasing 36.89% of accuracy to WBC segmentation. …”
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Hybridization of SLIC and extra tree for object based image analysis in extracting shoreline from medium resolution satellite images
Published 2018“…Thus, the object-based approach is proposed using a combination of segmentation algorithms, namely Felzenswalb, Quickshift, and SLIC, together with 15 machine learning classifiers, to classify segmented images of Langkawi Island. …”
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Dorsal Hand Vein Pattern Recognition: A Comparison between Manual and Automatic Segmentation Methods
Published 2023“…The HHM combined histogram equalization and morphological and thresholding-based algorithms to localize veins from hand images. …”
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Dorsal Hand Vein Pattern Recognition: A Comparison between Manual and Automatic Segmentation Methods
Published 2023“…The HHM combined histogram equalization and morphological and thresholding-based algorithms to localize veins from hand images. …”
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Dorsal Hand Vein Pattern Recognition: A Comparison between Manual and Automatic Segmentation Methods
Published 2023“…The HHM combined histogram equalization and morphological and thresholding-based algorithms to localize veins from hand images. …”
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Dorsal Hand Vein Pattern Recognition: A Comparison between Manual and Automatic Segmentation Methods
Published 2023“…The HHM combined histogram equalization and morphological and thresholding-based algorithms to localize veins from hand images. …”
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Dorsal Hand Vein Pattern Recognition: A Comparison between Manual and Automatic Segmentation Methods
Published 2023“…The HHM combined histogram equalization and morphological and thresholding-based algorithms to localize veins from hand images. …”
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A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
Published 2015“…Fuzzy Logic technique represents a new approach for gray level image contrast enhancement. The image contrast problem is one of the main problems that confront the researchers in the field of digital image processing, such as in the biomedical image processing like X-Ray and MRI image segmentation for disease classification. …”
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Early detection of high water saturation spots for landslide prediction using thermal image analysis
Published 2018“…There are three segmentation algorithm used in this study which are HSV, K-Means and Feature Matching. …”
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