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444 articles for “segmentations”
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Working System Linux as Developing and Runtime Stage for Control System
Abstract: What working framework to pick is a typical issue, important to unravel amid improvement of control framework for atom smasher? It would be extremely alluring to utilize the same working framework concerning improvement of programming segments of control framework concerning runtime both for real-time furthermore, no constant applications. Remote boot-stacking capacities, experienced programming improvement apparatuses, and other focal points of Linux make it extremely valuable for advancement of programming segments …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 2, 2016 · pp. 24–27 Read article
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License Plate Detection and Recognition of Moving Vehicle Using Open CV
Abstract: License plate detection and recognition system is to localize and extract license plate number of moving vehicle in real time environment. The system works on captured video stream of moving vehicle obtained from real working environments. This system is divided into four steps—video acquisition, vehicle detection, license plate detection, and character recognition. Detection of moving objects, i.e., vehicle in video streams is the first relevant step. For vehicle detection, we …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 32–42 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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A Novel Geometrical Features for Identification of Diseases in Paddy Leaves
Abstract: Abstract— Novel geometrical features have been proposed for identification of diseases in paddy leaves. Identification of fungal diseases like blast and brown spot diseases are done by using geometrical features and derived features of geometrical features. The Gamma technique is used for enhancement of images. The enhanced RGB images are converted to HSV color space. The Hue component of HSV is considered for segmentation of diseased portion. The kNN classifier …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 10–17 Read article
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Automatic Detection and Classification of Brain Tumor in Magnetic Resonance Images
Abstract: Brain tumor is one of the serious diseases that have caused death to many people in recent years. The complex structure of the brain and its main function associated with the central nervous system and its critical role in controlling most of the functions of the body make detection of tumor a challenging task. Many techniques have been presented in the medical field in order to detect brain tumor from …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 34–40 Read article
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Automatic Image Description Generation Using Deep Learning Techniques
Abstract: Automatic Image Description Generation methods are extremely useful for image retrieval, search and organization. Previous approaches either use the existing labelled dataset to compose sentences or compose a new description for the test image by exploiting available descriptions of the training images. In practice these methods have limited accuracy, hence if the most important objects in an image cannot be identified, then they cannot generate valid description. Another difficulty lies …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 28–37 Read article
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A Review on Breast Cancer Diagnosis in Mammography Images Using Deep Learning Techniques
Abstract: The Breast Cancer is second of the dangerous type diseases that is very effective for women in the world. Breast Cancer is spread very fast in last stage. It’s not give a more time for patients for treatment. We need accurate and efficient diagnosis system over a short period of time that can processed a large amount of data in a short time. It’s only possible using deep learning techniques. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 51–57 Read article
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Detection of Cracks and its Length
Abstract: Numerous artworks, particularly old ones, experience the ill effects of breaks in the substrate, the paint, or the varnish. These examples are more often than not called splits and be brought about by maturing, drying and mechanical factors. The presence of splits on painting disintegrates the depictions quality. One can utilize advanced picture handling strategies to distinguish and dispense with the breaks on the digitized works of art. The primary …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 52–61 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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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
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Learning-based Edge Detection for Video Sequences
Abstract: The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging fields with …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 1–19 Read article
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Accelerating High Arithmetic Intensity Storm Surge Model using CUDA
Abstract: GPUs (Graphic Processing Units) have opened the floodgates for high-performance computing, especially for programs that involve high-level arithmetic computations. Though parallel computing capability has been around for many years, it requires large and expensive hardware resources in the form of supercomputers. Presently, GPUs are found in all computing devices due to their reasonable prices. GPUs are now being tapped for speeding up legacy codes, especially in FORTRAN that involves high …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 2, 2016 · pp. 9–21 Read article
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A Robust Automatic Algorithm for Extraction of Blood Vasculatures from Retinal Images
Abstract: AbstractIn this proposed algorithm, an efficient method for extraction and segmentation of blood vasculatures from the retinal eye images is proposed. For finding the features and abnormalities like Fovea, macula, Red lesions and exudates, blood vasculature extraction is one of the most important steps. The proposed algorithm uses tactical combination of Green, L and Y channel of Retinal image, which gives a more accurate and efficient result than the single …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 1–7 Read article
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A Detailed Survey On The Quantification Of The Cardiac Fat Depots On The Cardiac CT Scans And MRI Scans.
Abstract: Cardiac fat depots are associated with the heart diseases.Epicardial fat and thoracic fat plays the major role in the development of cardiovascular disease.The increased thickness of the epicardial and thoracic fat leads to several diseases such as metabolic syndrome,coronaryatherosclerosis,etc.It is necessary to quantify the epicardial adipose tissue(EAT) and thoracic adipose tissue(TAT).There are various imaging and assessing techniques for the epicardial adipose tissue (EAT) quantification and thoracic adipose tissue(TAT) quantification.These tissues …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 22–28 Read article
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Impact of Ping Flood Attack and its Mitigation Technique: A Performance Evaluation
Abstract: Security has become the need of the hour as no organization is immune to data breach. A recent survey reports that 16% of attack on network is due to denial of service attack, which prevents legitimate users from accessing services or information. This paper focuses on ping flood attack, ping of death, SYN flooding and defense mechanism to defend the nodes being attacked in real time. Ping flood attack is …
Published in Journal Of Network security · Vol. 5, Issue 1, 2017 · pp. 11–21 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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Digital Image Watermarking using Discrete Cosine Transform
Abstract: Digital image processing is a growing field. Digital image processing operations are mainly divided into three major categories: Image enhancement, Image compression and Image segmentation. Digital Watermarking comes under image segmentation. The present paper proposes the technique for the digital watermarking for digital multimedia. The growth in e-world which is coupled with computer network, world wide web and more over exponential advancement in computer performance. All these technologies has facilitated …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 1, Issue 2, 2013 · pp. 17–22 Read article
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Reliable Data Transport in Platform-Based WSN
Abstract: Wireless Sensor networks (WSNs) are being used widely in the data to day life of human. Sensor network is a collection of tiny sensors connected through different Wireless medium. The main aim of sensor networks is to monitor and control of physical environments from remote locations with better accuracy. WSNs are having a wide range of applications areas such as military battle fields, environmental monitoring, health monitoring sensors in network …
Published in Recent Trends in Sensor Research & Technology · Vol. 1, Issue 1, 2014 · pp. 16–21 Read article
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Synergistic Approach to Exhaust Gas Treatment: A ‘One Stack’ Solution
Abstract: Taking cue from global changes, humankind is always in a race against time to come up with pertinent technologies that would cater to their ever-evolving requirements. As we magnify into the highprecision kinetic models of the current exhaust gas systems deployed onboard ships, we evaluate the substantial presence of sulfur oxides, nitrogen oxides, carbon dioxide, particulate matter, and other harmful pollutants. Releasing these gases to the atmosphere, untreated, can have …
Published in Journal of Offshore Structure and Technology · Vol. 10, Issue 2, 2023 · pp. 1–10 Read article
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Automatic annotation of reading using Speech Recognition: A pilot study
Abstract: Speech is a time-varying continuous stimulus. Analyzing a speech sample is generally done by transcribing it which can be considered to be a time-consuming process. A time annotated transcription is required for a detailed evaluation of the speech sample to study the language and prosodic features. The focus of this paper is to develop a tool to automatically segment audio recordings into silences and chunks of speech corpus and further …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 2, 2018 · pp. 25–29 Read article