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183 articles for “segmentation techniques”
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Performance Evaluation of Segmentation Algorithms for Apple Fruit Grading
Abstract: For supplying high-quality food products within a short time, automated grading of fruits is getting special attention. Fruit grading technique will grade the fruits using their shapes, color and outer look. This emphasizes the necessity of image segmentation which extracts important features from an image. This paper consists of analysis of different segmentation algorithms for detecting damage part of fruit. Marker-based watershed algorithm uses internal and external markers to locate …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 34–40 Read article
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Finding Churn Trend Scenario Using ML Techniques
Abstract: Abstract Media transmission and in addition the network access suppliers assumes an essential part in the mobile communications and the data society. Telecom segment is consistently developing with its progression in highlights and innovation. Consumer loyalty is an imperative factor which chooses the execution of firms. Customer churn expectation is an essential technique in CRM (Customer Relationship Management), knowing the churn propensity appeared by the customers helps to take better …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 1, 2019 · pp. 1–8 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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A Review on Brain Tumor Detection Techniques
Abstract: Brain tumor is an abnormal growth of the cells inside the brain. Detecting brain tumor takes special skills and techniques because they are difficult to detect – especially in early stages. The boundary of the tumor (i.e., the abnormality in brain) in an MRI or different medical images can be traced using image processing techniques. The input image to the system is taken either from the available database or the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 3, 2014 · pp. 6–9 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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Highly Efficient Mobile Computing Using Global Positioning System Techniques
Abstract: Mobile Computing communications has become a heatedly debated issue to the computing trade for the forth coming back years; thanks to the progress within the wireless communications space. GPS could be a network of satellites that endlessly transmits coded information that makes it attainable to exactly determine locations on earth by menstruation distance from the satellites This paper tries to style a system which mixes these two technologies; it's attainable …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 14–19 Read article
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Modernized Art for a Smarter Environment
Abstract: Gesture recognition is a technology that uses the mathematical algorithms to identify human gestures. Gesture recognition recognizes the hand, tracks its movements, and provides information about hand position, orientation, and finger flux. This research work describes a sophisticated and user-friendly Human Computer Interaction (HCI) technology that employs the Raspberry Pi to easily translate user intentions into corresponding commands and output. The proposed system overcomes the disadvantages present in the existing …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 7–14 Read article
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A Review on Different Techniques Used for Feature Extractions from Mammogram of Breast Cancer
Abstract: Breast cancer detection is still a complex and challenging problem. Mammogram contains low signal-to-noise ratio (SNR) and a complex structured background so identifying cancer tissues using this technique is a time consuming task even for expert radiologists. Therefore, there is still a need to enhance imaging in digital mammogram, where enhancement in medical imaging is the use of computers to make the image clearer. Studies show that relying on pure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 9–15 Read article
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Analysis & Detection Kidney Stone Images using Fuzzy Techniques
Abstract: Kidney Stone is the most debilitating sort in one of the deadliest malignancies type of tumor. Over the a few years the occasion of dangerous tumor has consistently reached out, considering the way that the fix of the disease depends upon its fundamental judgment. Two noteworthy sorts of lung tumor, Small cell & Non-small cell Kidney Stone. The lungs are normally sweeping in measure along these lines tumors can create …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 Read article
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Detection of Brain Tumors from MRI Images Based On Development of Thinking Computer Systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 12, Issue 4, 2022 · pp. 28–34 Read article
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Detection of Brain Tumors from MRI Images based On Development of Thinking Computer systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 28–34 Read article
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Iris Recognition System Using Principal Component Analysis based Back-Propagation Learning Neural Networks
Abstract: This paper deals with the iris recognition system using Back-Propagation learning neural network algorithm where Principal Component Analysis technique has been used to reduce the dimension of the iris feature vector. Automated iris localization and segmentation methods have applied to effectively isolate the iris region from pupil and sclera. Circular Hogue transform has used to detect the iris/sclera boundary and pupil/iris boundary. To remove the upper and lower eyelids effects …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 5–11 Read article
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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article
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Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article
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Pattern Extraction and Classification of ECG Signals using Neuro-Fuzzy Techniques
Abstract: Electrocardiography is a technique which provides the interpretation of the electrical activity of the heart over a period of time. The condition of cardiac health is given by Electrocardiogram (ECG) and heart rate. This paper represents the techniques, which extracts features from the ECG signals and classify them. ECG signal were taken from preselected data segment of the MIT‐BIH Arrhythmia Database. Pattern extraction provides the PQRST-wave values, heart rate and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 1–7 Read article
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Polymer Electrolytes for Flexible Energy Storage
Abstract: The research explores polymer electrolytes as promising materials for flexible energy storage applications, driven by the growing demand for wearable and portable electronics. Polymer electrolytes, including solid, gel, and composite types, offer key advantages such as mechanical flexibility, lightweight design, and improved safety over traditional liquid electrolytes. This study reviews recent developments in materials like polyethylene oxide (PEO), polyvinylidene fluoride (PVDF), and ionic liquid-based systems, focusing on their ionic conductivity, …
Published in International Journal of Advance in Molecular Engineering · Vol. 4, Issue 1, 2026 · pp. 27–35 Read article
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Face Aging Using Generative Adversarial Network
Abstract: This project addresses the challenge of predicting how a person may look in the future or how they appeared in the past using a single photograph. While existing methods mainly focus on altering texture, they often neglect changes in head shape that naturally occur during the aging process, limiting their effectiveness, especially when applied to images of children. To tackle this issue, a novel approach is introduced that employs a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 41–52 Read article
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Automatic License Plate Recognition using Video Sequences as Input and Artificial Neural Network as Recognition Technique
Abstract: AbstractALPR system is used to automatically extract the number plate of a vehicle. This can be achieved by using different techniques that are employed in the field of image processing. ALPR method consists of 4 basic stages. The first stage of the system is the acquisition of an image of the vehicle. After that, the next step is license plate localization and then segmentation of the extracted license plate is …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 25–38 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article