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444 articles for “segmentations”
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The Effect of the Cyclic Steam Stimulation on the Thermal Cement Bond: Cased Hole Wire Logging Evaluation (Segmented versus Original) Tools
Abstract: When focusing on the oil thermal well life integrity, One of the current trends is to optimize the use of the innovative solutions in order to improve the quality of the cement bonding (i.e. cement to pipe bond and formation). This trend is in a trail application in Fula North East thermal wells in Sudanese oilfields. The objective of this paper is to discuss how the Cyclic Steam Stimulation (CSS) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 3, 2019 · pp. 50–60 Read article
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Color Image Segmentation Using Optimized FCM Based on Modified Xie-Beni’s Validity Index
Abstract: AbstractColor image segmentation is an important task for image processing. There are many techniques used for segmentation; among them clustering is the most popular technique. The main issue of clustering process is to determine the number of clusters present in the image, which often is decided by the user or by cluster validity index. It is illogical to have correct or exact knowledge about the data points present in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 4–12 Read article
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A Novel Segmentation Method of Cervical Cancer affected Surface Tissues based on Superpixels
Abstract: AbstractCervical Cancer is one of the pervasive forms of cancer afflicting the female population worldwide. A Digital Colposcope is a self-illuminated powerful microscope which acquires the image of the affected cervix. The raw cervix image acquired by the colposcope is known as a cervigram. The raw cervigram is preprocessed by removing the specular reflections and then the region of interest is sought. Different novel segmentation algorithms which were proposed in …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 1–7 Read article
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Comparative Analysis of Fuzzy C-Mean and Level Set Segmentation Method for Brain Tumor Classes
Abstract: AbstractImage analysis is very important for many methodologies to process and identify the information of biomedical images. The segmentation technique is used to detect and characterize the biomedical images. The understanding of patient disease problem is an important task for radiologists. In this paper, we have presented the Fuzzy C-Mean (FCM) method for an objective function with fitting value and the Level Set Method (LSM) used for initial seeds contour …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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A Systematic Review: Impact of Preprocessing and Segmentation Methods in Classification of Celiac Disease
Abstract: In this era of technology, endoscopy emerges as the clinically acceptable imaging modality in the detection and diagnosis of celiac disease. As cases of celiac disease are increasing day by day, so it is necessary to make detection automated. The first step of preprocessing and then image segmentation is considered as the most essential step in research before classifying images, in the last two decades. To process the very large …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 1–6 Read article
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology Read article
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Experimental Study on Load Transfer Mechanism in Columns Retrofitted by Bonding Precast Segments and FRP Wrapping
Abstract: An experimental study was conducted to investigate the load transfer mechanism in columns retrofitted with precast segments and Fiber-Reinforced Polymer (FRP) wrapping. As the demand for structural retrofitting grows, it becomes crucial to comprehend the behavior and effectiveness of retrofit techniques to ensure the safety and integrity of existing infrastructure. The study involved subjecting a series of column specimens to axial compression loads in order to evaluate the load transfer …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 153–165 Read article
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Segments to Evaluate Remote Sensing Imagery
Abstract: AbstractSegmentation is scheme to rely accused formation by unconventional modeling. This is first step to increase resolution of as object specific formation. Petitioning to scale is algorithmic segmented binary pixel grouping between two subjectively heterotypic forms. Nevertheless noise free has favored grouping of pixels so as comparable to real object. Parameters for segment scale are typified shape like cube or circle, color, compactness and growth of image when subjected towards …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 19–22 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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Enhance Brain Images using Adaptively Regularized KFCM Approaches on Image Segmentation: A Survey
Abstract: AbstractThe purpose of image segmentation is to apply logic and convert the explication of an image into some aspect that is easy for examine. This paper concerns on study of various image segmentation (IS) techniques and analysis. The merits and demerits are also described in this paper. Then there is discussion about various underpinning concerns in IS and find the gap between them that require to be connected so as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 30–38 Read article
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Superpixel Segmentation using DBSCAN Clustering Algorithm
Abstract: AbstractSuperpixel division strategies are generally utilized as a pre-preparing venture to accelerate picture handling tasks. They assemble the pixels of a picture into homogeneous locales while attempting to regard existing shapes. In this paper, we propose a quick superpixels division calculation with contour adherence utilizing the density based spatial clustering of applications with noise (DBSCAN) algorithm. We implement a two-stage processing to decrease the computational costs of superpixel algorithms. First …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 26–36 Read article
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A Survey of Edge Detection and Object Segmentation from Contour based Soft Computing Approaches
Abstract: Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging field with the wide applications in edge detection and image segmentation. Such a process of partitioning the pixels regions of the digital images with boundary between two homogenous regions refers to the detection of edges. There was various approaches that have been implemented to achieve the same but their performance and its scope of …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 16–20 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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GHS Label Detection Using Color Segmentation
Abstract: AbstractThis research presented the Globally Harmonized System (GHS) label detection by color segmentation approach. The researcher adapts this approach for identify boundary of each color pixels in Different environment image set. Experimental result shown the detection model have high accuracy. However, the mainly cause of error processing is asymmetrical GHS label in sample image that.Keywords: Color Segmentation, Image Processing, GHS Label Detection, Computer VisionCite this ArticleSansanee Hiranchan. GHS Label Detection …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 26–32 Read article
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Image fusion, compresion and separation and segmentation Technique
Abstract: Image fusion compression Separation and segmentation is very typical task in image processing field In this paper we have done image fusion with help of Principal Component analysis(PCA) and Independent Component analysis(ICA) and compression with Principal Component Analysis (PCA) and Separation with Independent Component analysis (ICA) ,Scatter graphical method and convolution Mixture technique and segmentation with watershed technique and K mean ROI Focus on Different technique of image and signal …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 27–36 Read article
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Uncertainty Prediction in Brain Tumour Segmentation
Abstract: Gliomas are one of the most common brain tumour at different levels of the province, with Magnetic Resonance Imaging (MRI) used for diagnosis. In this project, It was asked to try to find uncertainty in the Brain Tumour Segmentation on MRI images using the BraTs19 Dataset and to look at how machine learning algorithms can work with these MRI images. Since these tissues are so large in shape and appearance, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 40–52 Read article
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Knowledge and Practices on Self-Care Activities During Postoperative Period Among Mothers with Lower Segment Caesarean Section in a Selected Hospital at Bangalore: A Descriptive Study
Abstract: Caesarean section is a major obstetric procedure. Mothers who experience a caesarean birth need special care. A daily postpartum assessment should be done which includes assessment of the women’s breast and nipple condition, the amount and character of her lochia, inspection of the abdominal extremities and assessment of her voiding. Mothers may need help with breast feeding especially during the first few days. Acute or chronic complications are experienced by …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 3, 2015 · pp. 32–35 Read article
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A Similarity Analysis between Linear Multiracial Feature and Non-linear Multiscale Texture in Detection and Segmentation at Brain Tumor
Abstract: The panorama of the stochastic model, i.e., Random model, is called cancer. In that cancer contain benign and malign cells among that the vulnerable is rapid growth of malign cells lead to jeopardy. According to existing system the MRI fetches with multiresolution fractal (linear) model known as multi-fractional Brownian motion method but the flavor of proposed system may be interesting to keep contourlet transform and genetic algorithm for feature selection …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 1, 2020 · pp. 1–7 Read article
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Fluid-Structure Interaction Analysis of a Rubber Bellow Segment made of Hyper Elastic Material
Abstract: Fluid-structure interaction (FSI) is the interaction of a moveable and/or deformable structure that is immersed in a fluid and/or contains a fluid. Motion of the structure causes a change in the fluid’s stresses that act on the structure’s wetted surface, which in turn causes a change in the structure’s motion. The present research analyses the deformation produced in a hyper elastic rubber bellow segment due to the pressure generated by …
Published in Recent Trends in Fluid Mechanics · Vol. 3, Issue 2, 2016 · pp. 21–30 Read article