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1936 articles for “2.5D range image” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Enhancing the Still Image Using Super Resolution Techniques: A Review
Abstract: Super Resolution (SR) refers to the reconstruction of images that are visually superior to the original low resolution (LR) images by bandwidth extrapolation beyond the pass band of the imaging system. Tsai and Hunag were the first to consider the problem of SR in 1984. Onwards over three decade various researchers contributed in the field of SR but all are intuitive SR mechanisms. This paper reviews the recent SR techniques. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 35–51 Read article
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Performance Evaluation of PCA Based Back Propagation over PCA Based Euclidian Distance for Video Images
Abstract: Key frame selection aims at reducing amount of data and retrieve information desired from a video. Video summarization aims at reducing the amount of data in order to retrieve information from a video. In this paper, we present an innovative approach for key frame selection; and a face detection and recognition from video sequence. For face detection from video, first we select the key frames and then detect multiple faces …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 24–31 Read article
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Plant Leaf Sickness Recognition Using Image Processing
Abstract: This paper demonstrates the use of image processing techniques in detection of diseases in plants. The system which we have demonstrated in this technique is a software result for computerized detection and computing of the texture enumeration for the leaf diseases in plants. This processing system involves four major steps: (1) in this step we take an RGB image as input and it’s colour transformation structure is created, (2) in …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 26–31 Read article
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Detection of Counterfeit Indian Passport Using Image Processing
Abstract: AbstractThere are various identification documents for an Indian citizen; like adhaar card, ID card, passport, etc. Among them, passport is the primary identity verification document. It gives identity to a particular citizen on the global level. With passport, we can travel across the globe. We can live in another country. Hence it is necessary that it does not belong to any mischievous person. But with the advancement in the technology; …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 1–3 Read article
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COLOUR IMAGE ENCRYPTION AND COMPRESSION USING HYPER-CHAOTIC SYSTEM AND DCT DICTIONARY
Abstract: Image encryption and compression has received a lot of attention nowadays since large amount of information is transmitted through public networks. Encrypting the image after compression will sacrifice the flexibility and increases the complexity of the process. So the better method is the joint operation of encryption and compression in single step. The hyper-chaos based colour image image encryption and compression which is based on the scrambling and diffusion is …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 27–32 Read article
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Classification of Mammogram Images by Machine Learning Algorithm Attacker Nodes
Abstract: Abstract— Breast cancer is basic in ladies' these days. In beginning when cells in the breast start to develop out of control. These cells generally structure a tumor that will frequently be seen on a x-beam or felt as a lump. Cells in almost any piece of the body can move toward becoming malignant growth and can spread to different regions of the body. There are very nearly 6 phases …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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Bayesian Image Segmentation using HMRF Algorithm
Abstract: AbstractImage segmentation is a process of dividing the image in to some distinct regions. These regions shave specially coherent in nature and have similar attributes. This technique is widely used for image analyses and to interpret the desired feature. In this present paper, we will study about the hidden Markov random fields (HMRF) and find its expectation maximization algorithm. The main idea behind developing HMRF is to adjoin the “data …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 1–8 Read article
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Role of Deep Learning in Image Recognition
Abstract: Deep learning (DL) is a part of machine learning (ML) while ML is a subarea of artificial intelligence (AI). Deep learning or convolutional neural network (CNN) is a kind of neural network (NN). Nowadays, DL is playing a peculiar role in image recognition. It is being applied for recognizing speeches, language translations, automatic game playing, healthcare, and Self-driving a car as well. The concept of DL was proposed by Alexey …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 34–39 Read article
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Image Super-resolution Using Super-resolution Convolutional Neural Network
Abstract: Several studies have been conducted to improve low-resolution photos to a higher resolution version utilizing classic super-resolution methods such as pixel-wise interpolation. While the resolution of images has been rapidly increasing in recent years with the development of high-performance cameras, advanced image compression, and display panels, the demand to generate a high-resolution image from pre-existing low-resolution images is also increasing for rendering on high-resolution displays. Some of these methods involve …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 33–39 Read article
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Autonomous Car Using Deep Learning and Image Processing Technology
Abstract: This study showcases a mini version of autonomous cars where it includes both autopilot mode and manual control. Autopilot mode is implemented using deep learning and image processing techniques, such as CNN, Haar cascade model and mobile app for manual control. IoT plays an important role. The Raspberry pi, pi camera and Arduino uno work as the main processors. The high-resolution pi camera, which is of 8 MP, will provide …
Published in Journal of Open Source Developments · Vol. 10, Issue 1, 2023 · pp. 10–18 Read article
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OS 2.0: Revolutionizing Operating System Architecture for Quantum Computing
Abstract: Quantum computing promises unprecedented processing power by harnessing quantum mechanical phenomena. However, existing operating systems are inadequate for the unique demands of quantum computers. This research proposes OS 2.0, a new operating system architecture tailored for quantum computing. A comprehensive literature review identifies key requirements like managing quantum entanglement and error correction. Evaluation of current operating systems reveals performance limits, lagging fault tolerance, and inability to control quantum interference effects. …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Providing Captions to the Detected Images: Deep Neural Networks and LSTM
Abstract: Automatically generating captions for images seems to be very interesting but at the same time the task is quite challenging as training a machine with proper comprehension of the image, it’s background, detecting the objects present in it and finally generating the captions is only the frontline projection; The difficult part happens behind the scenes: selecting the dataset, training the model, validating the model, developing pre-trained models to test the …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 · pp. 30–38 Read article
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Design an Algorithm to Detect and Count Small Size Object Using Digital Image Processing
Abstract: This paper presents algorithm to detect and count small size objects using digital image processing in MATLAB. Digital image processing can be used for small size with high accuracy. The image with different objects is captured by digital camera. There is an algorithm based on morphologic that converts the input image into a format such that the number of objects can be counted based on the components present in the …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 2, 2016 · pp. 9–13 Read article
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Sol-Gel Auto-Combustion Synthesis and LPG Sensing Performance of Mg(x) Fe(x-1)2O4 (X=0.1 to 0.9) Nanoparticles
Abstract: Spinal ferrites are having important electronic materials because of their electrical and magnetic properties. MgFe2O4 gas sensors have important parameters such as phase formation, crystallite size, particle size, grain size, surface area etc. The present work provides comprehensive study of the mesoporous Mg(x)Fe(x-1)2O4 nanoparticles which were synthesized via sol-gel auto-combustion method. The main objective of the current research is to study the influence by increasing the concentration of ferrite with …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 19, Issue 1, 2017 · pp. 48–58 Read article
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Impact of PPAR-γ2 pro12Ala Gene Polymorphism and Susceptibility of Type 2 Diabetes Mellitus in Patients Visiting Gondar University Teaching Hospital
Abstract: Type 2 diabetes mellitus (T2DM) is characterized by hyperglycemia that can occur through mechanisms such as; impaired insulin secretion, insulin resistance in peripheral tissues and increased glucose output by liver. Type 2 diabetes clearly represents a multifactorial disease, and several findings indicate that multiple genetic and environmental factors are important contributing factor involved in the pathogenesis of this disease. Recently great emphasis has been given to genetical factors to combat …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 5, Issue 2, 2015 · pp. 21–28 Read article
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Eddy Current Imaging Technique for Quantitative Analysis of Defects in Aircraft Components
Abstract: Aircraft industry’s concern is primarily in the area of safety of components and structures and it is extremely important to constantly evaluate and monitor the structures and systems for defects and anomalies noninvasively, thereby preventing unplanned outages and shutdowns as also catastrophes. To accomplish this, different nondestructive testing techniques have been in use since decades. Each technique is unique by itself and has its associated advantages and limitations; a suitable …
Published in Journal of Aerospace Engineering & Technology · Vol. 2, Issue 1, 2012 · pp. 1–5 Read article
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Need Assessment for Opening a Special School for Differently Abled Children in Mekelle City, Ethiopia 2014
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Every one differs from each other in all aspects which includes physical, emotional, intellectual and behaviors. This causes a different situation for a teacher who has to manage the students with different abilities. It has been greatest challenge for the school teachers to provide a better service without individual differences. In a class room a child can be a normal or with …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 5, Issue 1, 2015 · pp. 20–50 Read article
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Nuclear Imaging and its Applications in Medicine
Abstract: Molecular imaging is a sort of medical imaging that gives definite pictures of what is going on inside the body at the molecular and cellular level. Where other symptomatic imaging methods, for example, x-beams, registered tomography (CT) and ultrasound—offer pictures of physical structure, molecular imaging enables doctors to perceive how the body is working and to measure its substance and natural procedures. Molecular imaging incorporates the field of nuclear medicine, …
Published in Journal of Nuclear Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 12–14 Read article
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Monitoring and Change Analysis of Qingdao Coastal Line from 1973 to 2016 Based on Remote Sensing Technology
Abstract: Qingdao is near the Yellow Sea and has a long coastline. In recent years, with rapid development, the coastline of Qingdao has changed greatly. Accurate detection of coastline can understand the characteristics of urban development and the relationship between urban development and ecological change. Compared with manual monitoring, remote sensing technology is widely used in coastline monitoring because of its fast monitoring speed, low monitoring cost and high monitoring accuracy. …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 2, 2019 · pp. 35–42 Read article
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Type 2 Diabetes Mellitus: Existing Understanding and Expectations in India
Abstract: Increased fracture risk, which has been connected to type 1 diabetes in the past, has now become a top concern for those with type 2 diabetes. Depending on where the bone is located, how long you've had diabetes, and the study techniques, there has been evidence of a varying increase in fracture risk, ranging from 20% to 3-fold. An increased risk of fracture has been associated with a longer disease …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 12, Issue 3, 2022 · pp. 12–17 Read article