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183 articles for “segmentation techniques”
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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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Analysis of the Various Eyes Images using Colour Segmentation Techniques and their Noise effects
Abstract: AbstractThe introduction of computer technology image-processing techniques have gradually becomes more important in a broad variety of applications. Image segmentation is a classic subject in the field of image processing with the enhancement of computer processing capabilities and the increased application of colour image, the colour image segmentation are additional concerned by the researchers. In areas of image processing, colour segmentation has been and still it is very important research …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 4–11 Read article
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Development of Intensity-based Segmentation Technique for Meningioma Tumor Detection in MRI Images
Abstract: There are many types of brain tumors. Some brain tumors detection system using segmentation and classification of MRI images. Brain tumors can have any shape or cut. This encourages us to use high-capacity deep neural networks. Segmentation task and 8000 images for classification task of our neural network and found the best architecture to use. convolutional neural network. In recent years, the three most common forms of brain tumours—glioma, meningioma, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 50–54 Read article
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Performance Analysis of Segmentation using Thresholding Technique and K-means Clustering Techniques in Mammograms
Abstract: The main objective of the study is the attainment of proper segmentations of mammographic images which are taken from Mammographic Image Analysis Society (MIAS) digital mammogram database. In this study normal breast images and breast image with masses used as the standard input to the proposed system are taken from Mammographic Image Analysis Society (MIAS) digital mammogram database so as to be used in tasks such as to find micro …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 · pp. 115–121 Read article
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Survey on Techniques to Segment Salt Bodies in Seismic Images
Abstract: The areas in the earth which are rich in oil and natural gas also have huge deposit of salt below the surface. So, it is very important for the hydrocarbon industries to acquire the needed resources. The important challenge of seismic imaging is to detect subsurface salt structure which is required for the identification of hydrocarbon reservoirs and drill path planning. Unfortunately, the accurate identification and classification of large salt …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 25–30 Read article
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A Review on Image Segmentation with Its Application
Abstract: ‘Image Segmentation’ is the most basic capacities in picture examination and preparing. In a broad sense, division results influence all the ensuing procedures of picture examination, for example, object representation and portrayal, component estimation, and even the accompanying larger amount assignments, like object arrangement. Henceforth, image segmentation is the most fundamental and vital procedure for encouraging the outline, portrayal, and representation of the locales of enthusiasm for any picture. Image …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 21–29 Read article
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A Review on MR Brain Image Segmentation Based on Different Techniques
Abstract: In past few years, the growth in Magnetic Resonance Imaging (MRI) provided a new way to detect and diagnose the brain related problems such as Alzheimer, schizophrenia and brain tumor. Many supervised and unsupervised techniques are available for image segmentation. In medical field supervised and unsupervised segmentation both are available but unsupervised is in more demand then supervised because it requires external assistance. Whereas unsupervised segmentation reflects better results. In …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 2, 2015 · pp. 9–14 Read article
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Biomedical Image Processing: Retinal Blood Vessel Segmentation using Graph Cut Technique
Abstract: Retinal image, which is used in determining different diseases in the eye of a human being, is an important feature in the field of ophthalmology. Similarly, optic disc detection is also an important feature as it locates diseases and defects. In Image processing of fundus, image vessel extraction is the key feature used in doing so. Here, we are presenting the Graph Cut method which helps in extracting blood vessels …
Published in Current Trends in Signal Processing · Vol. 5, Issue 1, 2015 · pp. 17–20 Read article
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Comparative Analysis of Proposed FCM Clustering Integrated Enhanced Firefly-Optimized Algorithm (En-FAOFCM) for MR Image Segmentation and Performance Evaluation
Abstract: Image segmentation has a significant responsibility in diagnosis and treatment of diseases. To scan patients and determine the severity of certain injuries in hospitals, magnetic resonance imaging (MRI) method is normally used. This paper emphasizes on comparative study of segmentation techniques for segmenting MRI brain images. In this regard, to group the pixels of images in the intensity space, unsupervised clustering techniques are used. Here enhanced firefly algorithm is used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 32–44 Read article
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Refining Retinal Layer Segmentation in OCT Imaging with Advanced Techniques and Clinical Applications
Abstract: Segmenting retinal layers from Optical Coherence Tomography (OCT) pictures entails locating and separating different retinal layers to offer comprehensive anatomical and pathological information. Age-related macular degeneration, diabetic retinopathy, and glaucoma are among the retinal illnesses for which this procedure is crucial for diagnosis and follow-up. By utilizing preprocessing techniques to improve image quality and applying advanced algorithms—such as intensity-based, gradient-based, and texture-based methods—alongside deep learning approaches, clinicians can accurately measure …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 01–06 Read article
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Beach Cleaning Vision System
Abstract: Abstract: This paper concentrates on vision system for the purpose of automatic beach cleaning process. A system that detects the objects, edges and features is very important for easier and proper cleaning in all the areas. The vision system uses various techniques with the real time captured image for Object detection to find if any object or waste is present. Edge detection is used to recognize the boundary of the …
Published in Journal of Operating Systems Development & Trends · Vol. 6, Issue 3, 2019 · pp. 14–21 Read article
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Colour Based Segmentation of a Landsat Image Using K-Means Clustering Algorithm
Abstract: AbstractImage segmentation is one of the typical vintage subjects in image processing and it acts as a bulls-eye of the image processing technique. By definition, image segmentation means identifying the similar regions in the image; or in other words, identifying the homogenous pixels in the image and grouping all these pixels based on the homogeneity condition considered. This homogeneity condition can be like, colour, texture, size, compactness etc. It is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 31–38 Read article
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Ileal Ureteral Substitution for Long Ureteric Structure/Segment Loss by Yang-Monti Technique. A Single Centre Experience
Abstract: A new technique for replacing the ureter based on the Yang-Monti principle is introduced to overcome the drawbacks of the classic ileal ureter. Between January 2007 and January 2014, ureteral replacement by ileum was indicated in nine patients, long or multiple strictures due to tuberculosis (6), retroperitoneal tumor (1) and iatriagenic ureteric injury during ureteroscopic (2). Exclusion criteria included patients with inflammatory bowel syndrome or irradiated bowel or a non-functioning …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 3, 2015 · pp. 6–11 Read article
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Numerical Simulation and Design of Efficient Brain Tumor Segmentation with Hybrid Fuzzy K-Means Clustering Technique
Abstract: The goal of this study is to detect brain cancers from MRI images using a Matlab GUI interface. Using the GUI, this application may employ numerous combinations of segmentation, filters, and other image processing methods to produce the best results. We begin by applying the Prewitt horizontal edge-emphasizing filter on the image. “Watershed pixels” are the next step in detecting tumours. The most essential aspect of this project is that …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 8–17 Read article
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A Comparative Study on Different Edge Detection Techniques after Applying Noise Removal Techniques to An Image
Abstract: In digital image processing and computer vision, image segmentation plays an important part. image segmentation refers to the sub division of image into different parts on the basis of different factors like edges, region, etc. edge detection is the most important factor of object recognition in an image. but unwanted signals like noise in an image can affect and degrade the edge detection process in image segmentation. this paper aims …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 33–40 Read article
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Brain Tumor Detection Using Image Processing
Abstract: Brain tumor means the aggregation of abnormal cells in some tissues of the brain. Brain tumor can be cancerous or noncancerous. The most common types of brain tumors are Glioma, Meningioma and Pituitary tumor. Early detection of tumor cells is essential in-patient treatment and recovery. A brain tumor is typically diagnosed through a lengthy and complicated process. The MRI images of various patients at various stages can be used for …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 8–14 Read article
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Detection of Traffic Sign Using CNN
Abstract: For past more than half of the decade, the detection and recognition of the traffic signs are an active research area; especially in the field of automation of driving that is critical for driverless driving, as there is drastic increase in road accidents due to ignorance of traffic signs and rules. This is frequently used for recognizing permanent or temporary various road signs which are displayed on the side of …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 1, 2022 · pp. 14–23 Read article
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Various Edge Detection Techniques for Efficient Gait Recognition System
Abstract: AbstractGait recognition system is one of major security concerns for moving objects in biometric authentication. In this paper, various edge detection techniques for converting a gait image into edge image for recognition purpose are discussed. It is also useful for efficient image segmentation. Efficient Image segmentation technique plays an important role for improving recognition rate as well as recognition time. This survey work is helpful for making an efficient gait …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 17–20 Read article
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Detection and Diagnosis of Colorectal Cancer Using Image Processing
Abstract: Colorectal Cancer gets developed either in colon or in the rectum inside the large intestine, due to the abnormal growth of the cells. For detection and screening of colon cancer, Computed Tomography (CT) Colonography is a valid technique in which digital images of rectum polyps have been investigated. An improved gradient vector flow (IGVF) and various segmentation techniques of colorectal cancer detection are discussed in this paper. The segmented candidates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 1, 2017 · pp. 11–14 Read article
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Fake Review Detection
Abstract: In the enterprise marketing process, online information assumes progressively significant job. As a kind of information, counterfeit surveys of the items, have been genuinely influencing the unwavering quality of both dynamic and information examination of the undertaking. To distinguish spam surveys, the paper presents a lot of conclusion spam discovery's ID markers dependent on conduct highlights of the spammer. Our review identification algorithm achieves lower latency. More importantly, the proposed …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 2, 2020 · pp. 6–13 Read article