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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VI"

共 15687 条记录，以下是4041-4050 订阅

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Optimized Implementation of Modified Gram Schmidt Algorithm on VLIW Architecture

Optimized Implementation of Modified Gram Schmidt Algorithm ...

引用

IEEE 4th World conference on Complex systems (WCCS)

作者： Najoui, Mohamed Hatim, Anas Belkouch, Said Chabini, Noureddine Mohamed V Univ ENSET Rabat E2SN Lab Rabat Morocco Ibn Zohr Univ ENSA Agadir LGEMS Lab Agadir Morocco Cadi Ayyad Univ ENSA Marrakech LGECOS Lab Marrakech Morocco Royal Mil Coll Canada Dept Elect & Comp Engn Kingston ON Canada

ISBN: (纸本)9781728112329

Modified Gram Schmidt (MGS) is one of the well-known forms of QR decomposition (QRD) algorithms. It has been used in many signal and image processing applications to solve least square problem, linear equations or to invert matrices. Nevertheless, QRD is considered a computationally expensive operation, and its sequential implementation doesn't meet the requirements of many real time applications. In this paper, we propose an optimized MGS algorithm version based on software pipelining and loop unrolling techniques. The suggested MGS version is parallel and well suited for VLIW architectures. The implementation is done under TI C6678 VLIW DSP and the obtained results show great improvements against the standard MGS and the optimized vendor QRD implementations.

关键词： Signal and image processing MGS VLIW Software Pipelining DSP

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Comprehensive study of Deep learning based Telugu OCR

Comprehensive study of Deep learning based Telugu OCR

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International conference on Smart systems and Inventive Technology (ICSSIT)

作者： Muni Sekhar Velpuru Priyadarshini Chatterjee G Tejasree M Ravi Kumar S Nageswara Rao Vardhaman College of Engineering Hyderabad India JBREC Hyderabad India

ISBN: (数字)9781728158211

ISBN: (纸本)9781728158228

Optical Character Recognition (OCR) is a technology to recognize text in the images. images in the sense means scanned documents or pictures. With the help of an OCR, it is possible to convert any image text into machine-readable text data. OCR has varied uses in understanding any scripts written in any language. They also convert the text with high accuracy. After any image text has gone through OCR processing, they edited with the help of MS Office. With the advent of OCR, there is no need to digitize the image text. Another advanced technology that is extensively used in OCR is deep earning. Deep learning can be called as a subfield of Machine Learning. This area is inspired by the structure and function of the brain. Deep learning has many algorithms that are used to solve problems. This area offers scalable solutions to problems. Another very important benefit of deep learning is feature extraction from unorganized data. In a broader sense, this area provides automated feature learning. It is called “deep”, as the layers of the network are made to learn deep. As segmentation is a part of OCR, delve into it in this paper. Segmentation is a subpart of image processing; OCR and it goes hand in hand with deep learning. Segmentation helps in easier analysis of the parts of an image. Nowadays segmentation is clubbed with deep learning and artificial intelligence to analyze and understand those features that was not possible attest a decade ago. Deep learning helps to learn the input patterns so that they can predict object classes. image segmentation divides the input image into segments to help us to do a better analysis of the image.

关键词： Optical character recognition software image segmentation Machine learning Character recognition Optical imaging Ciphers Classification algorithms

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Remote Sensing for Maritime Monitoring and Vessel Prompt Identification 11th

Remote Sensing for Maritime Monitoring and Vessel Prompt Ide...

引用

11th International conference on Multimedia and Network Information systems (MISSI)

作者： Reggiannini, Marco Righi, Marco Tampucci, Marco Bedini, Luigi Di Paola, Claudio Martinelli, Massimo Mercurio, Costanzo Salerno, Emanuele Natl Res Council Italy Inst Informat Sci & Technol I-56124 Pisa Italy Mapsat SRL Contrada Piano Cappelle 1 I-82100 Benevento BN Italy

ISBN: (纸本)9783319986784;9783319986777

The main purpose of the work described in this paper concerns the development of a platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Radar or Optical maps captured by satelliteborne sensors. More in detail, the processing chain is dedicated to (i) the detection of vessel targets in the input map, (ii) the refined estimation of the vessel most descriptive geometrical features and, finally, (iii) the estimation of the kinematic status of the vessel. This platform will represent a new tool for combating unauthorized fishing, irregular migration and related smuggling activities.

关键词： Maritime traffic monitoring SAR sensing Optical sensing Ship detection image segmentation image classification Wake detection and analysis

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Deep Learning Analysis for Big Remote Sensing image Classification 11

Deep Learning Analysis for Big Remote Sensing Image Classifi...

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11th International Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) / 11th International conference on Knowledge Discovery and Information Retrieval (KDIR)

作者： Chebbi, Imen Mellouli, Nedra Lamolle, Myriam Farah, Imed Univ Paris 08 LIASD Lab Paris France Univ Manouba RIADI Lab Manouba Tunisia

ISBN: (纸本)9789897583827

Large data remote sensing has various special characteristics, including multi-source, multi-scale, large scale, dynamic and non-linear characteristics. Data set collections are so large and complex that it becomes difficult to process them using available database management tools or traditional data processing applications. In addition, traditional data processing techniques have different limitations in processing massive volumes of data, as the analysis of large data requires sophisticated algorithms based on machine learning and deep learning techniques to process the data in real time with great accuracy and efficiency. Therefore Deep learning methods are used in various domains such as speech recognition, image classifications, and learning methods in language processing. However, recent researches merged different deep learning techniques with hybrid learning-training mechanisms and processing data with high speed. In this paper we propose a hybrid approach for RS image classification combining a deep learning algorithm and an explanatory classification algorithm. We show how deep learning techniques can benefit to Big remote sensing. Through deep learning we seek to extract relevant features from images via a DL architecture. Then these characteristics are the entry points for the MLlib classification algorithm to understand the correlations that may exist between characteristics and classes. This architecture combines Spark RDD image coding to consider image's local regions, pre-trained Vggnet and U-net for image segmentation and spark Machine Learning like random Forest and KNN to achieve labeling task.

关键词： Big Data Deep Learning Remote Sensing Classification Spark Tensorflow

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2nd International conference on Innovative Computing and Communication, ICICC 2019

2nd International Conference on Innovative Computing and Com...

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2nd International conference on Innovative Computing and Communication, ICICC 2019

ISBN: (纸本)9789811512858

The proceedings contain 50 papers. The special focus in this conference is on Innovative Computing and Communication. The topics include: Recommendation System Using Community Identification;comparison of Deep Learning and Random Forest for Rumor Identification in Social Networks;ontological Approach to Analyze Traveler’s Interest Towards Adventures Club;performance Analysis of Off-Line Signature Verification;fibroid Detection in Ultrasound Uterus images Using image processing;progressive Generative Adversarial Binary Networks for Music Generation;machine Learning Approach for Diagnosis of Autism Spectrum Disorders;methodologies for Epilepsy Detection: Survey and Review;scene Understanding Using Deep Neural Networks—Objects, Actions, and Events: A Review;Exploring the Effect of Tasks Difficulty on Usability Scores of Academic Websites Computed Using SUS;scene Text Recognition: A Preliminary Investigation on Various Techniques and Implementation Using Deep Learning Classifiers;computer-Aided Diagnosis System for Investigation and Detection of Epilepsy Using Machine Learning Techniques;moments-Based Feature Vector Extraction for Iris Recognition;a Novel Approach to Improve Website Ranking Using Digital Marketing;a Comparative Study on Different Skull Stripping Techniques from Brain Magnetic Resonance Imaging;Predicting Academic Performance of International Students Using Machine Learning Techniques and Human Interpretable Explanations Using LIME—Case Study of an Indian University;improved Feature Matching Approach for Detecting Copy-Move Forgery and Localization of Digital images;sentiment Analysis Using Gini Index Feature Selection, N-Gram and Ensemble Learners;text Summarization by Hybridization of Hypergraphs and Hill Climbing Technique;comparing Machine Learning algorithms to Predict Diabetes in Women and visualize Factors Affecting It the Most—A Step Toward Better Health Care for Women.

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Application of Auto-Threshold plugin for cut surface evaluation of white cheese in brine 8

Application of Auto-Threshold plugin for cut surface evaluat...

引用

8th International Scientific conference on Engineering, Technologies and systems, TechSys 2019

作者： Bosakova-Ardenska, Atanaska Panayotov, Peter Boyanova, Petya Department of Computer Systems and Technologies University of Food Technologies Plovdiv Bulgaria Department of Milk and Dairy Products Technology University of Food Technologies Plovdiv Bulgaria

This paper presents a research over application of global thresholding methods for evaluation of cut surface of white cheese in brine. Six trademarks Bulgarian white cheese in brine produced of cow, sheep and goat milk are used for cut surface evaluation. Examined cheese samples are evaluated by experts and the results are used as referent assessment for results of image processing trough thresholding algorithms. A Java program is developed for image segmentation with specific thresholding algorithm using two or three colors in different modes to produce segmented image. The images of cheese samples (their cut surfaces) are processed with developed program using all of the seventeen thresholding algorithms which are implemented in Auto-Threshold plugin for open source software imageJ in different modes. A correlation analysis shows that some of thresholding algorithms which are implemented in Auto-Threshold plugin could be used for cut surface evaluation of white cheese in brine. © 2019 IOP Publishing Ltd.

关键词： image segmentation

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Color Lane Line Detection Using the Bhattacharyya Distance

Color Lane Line Detection Using the Bhattacharyya Distance

引用

International conference on Information, Intelligence, systems and Applications (IISA)

作者： J. Han C. Lee Yonsei University

ISBN: (数字)9781665422284

ISBN: (纸本)9781665422291

In this paper, we propose a color lane line detection algorithm that can be used with moving vehicles. First, to reduce false detection and processing time, we considered the geometric relationship of the camera and the vanishing point. To effectively utilize color images for color line detection, we used the edge detection method based on the Bhattacharyya distance and a morphological operation. The proposed method was tested under various conditions (highway, urban, others; sunny, cloudy, early evening) and the experimental results show promising performance.

关键词： Road transportation image color analysis image edge detection Clouds Color Detection algorithms Morphological operations

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An Improved UAV Aerial image Mosaic Algorithm Based on GMS-RANSAC

An Improved UAV Aerial Image Mosaic Algorithm Based on GMS-R...

引用

IEEE International conference on Signal and image processing (ICSIP)

作者： Xiangyan Lan Baolong Guo Zhe Huang Suting Zhang School of Aerospace Science and Technology Xidian University Xi'an China

ISBN: (数字)9781728168968

ISBN: (纸本)9781728168975

The aerial image mosaic algorithm needs to ensure the real-time performance of the algorithm and the natural transition of image fusion. In order to improve the matching performance of the algorithm, an improved UAV aerial image registration algorithm based on GMS-RANSAC is proposed. The improved algorithm introduces the idea of partitioning, divides the image into meshes and then performs feature extraction on each mesh, uses the bidirectional BF algorithm and the GMS algorithm to perform accurate feature value matching, and finally uses the improved RANSAC algorithm for further feature purification to obtain a high-quality correct interior point set. This paper combines the characteristics of GMS algorithm to improve the RANSAC algorithm, reduce the number of iterations of the algorithm, and reduce the time complexity of the algorithm. The improved image registration algorithm has higher accuracy and shorter running time. After the registration is completed, the image is merged to obtain a mosaic image.

关键词： image registration Purification Feature extraction Real-time systems Partitioning algorithms Time complexity image fusion

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An Advanced Method of Treating Agricultural Crops Using image processing algorithms and image Data processing systems

An Advanced Method of Treating Agricultural Crops Using Imag...

引用

International conference on Computing, Communication & Automation (ICCCA)

作者： Imrus Salehin Iftakhar Mohammad Talha Mohd. Saifuzzaman Nazmun Nessa Moon Fernaz Narin Nur Daffodil International University Dhaka Bangladesh

ISBN: (数字)9781728163246

ISBN: (纸本)9781728163253

Smart agriculture has involved evolution, judgment, and application of new methods of using modern technology. Technological advances in agriculture will enable farmers to enhance their skills in farming. We planned technology for farming by combining an app and a SMS system through the mobile phone. Different types of virus, fungus, and bacterial infection causes a great loss of farming product. Modern technologies in various computer science fields such as image processing, data mining can be applied in this infrastructure. We use the Scale-Invariant Feature Transform (SIFT) algorithm in this paper to identify crop diseases based on various types of datasets. The SFT technique is a well-known method that is applied to find the image data with pixel integrated. Firstly, we find out all key points and store all unique data from image for next steps. After processing every pixel, we match the main key point for major disease detection. In this study, our contribution is that we are trying to identify all diseases. We are trying to provide some solutions with the help of a solution bank using SMS services and live web portals.

关键词： image processing Transforms Data processing Agriculture Mobile handsets viruses (medical) Portals

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Real-Time Automatic video Inspection System for Piece Products Marking

Real-Time Automatic Video Inspection System for Piece Produc...

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IEEE International conference on Data Stream Mining & processing (DSMP)

作者： Nonna Kulishova Anton Paramonov Volodymyr Tkachenko Media Systems and Technologies Department Kharkiv National University of Radioelectronics Kharkiv Ukraine

ISBN: (数字)9781728132143

ISBN: (纸本)9781728132150

The paper considers the problem of real time automated video inspection of piece products. The architecture of automatic video inspection system is proposed, the temporal characteristics of its action are investigated. The possibility of analyzing images of objects after transformations in grayscale and Lab space, the use of Hough transforms and second-order moments to frame object localization is considered. The possibility of using machine learning algorithms for real time automatic video inspection of industrial products was studied.

关键词： Inspection Streaming media Real-time systems visualization image color analysis Transforms Production

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