Intensity-Based Classification and Related Methods in Brain MR Images

2016 ◽  
pp. 78-105
Author(s):  
Luminita Moraru ◽  
Simona Moldovanu ◽  
Anjan Biswas
Keyword(s):  
Image Processing ◽  
Clustering Algorithms ◽  
Magnetic Resonance Images ◽  
Specific Reference ◽  
Research Fields ◽  
Technical Developments ◽  
Highly Active ◽  
The Subject ◽  
Active Research

Today, medical image processing and analysis are highly active research fields boosted by rapid technical developments in medical imaging field. This chapter describes common procedures such as thresholding methods and clustering algorithms (both non-hierarchical and hierarchical approaches) used for digital image processing, with specific reference to brain magnetic resonance images. These techniques represent starting points for other sophisticated methods such as segmentation and classification. The results, which are an outcome of these methods, are used for classification of neurodegenerative diseases such as Alzheimer, Pick's, Huntington's or cerebral calcinosis. A number of applications together with the code listing are provided with the aim to make the subject accessible and practical. The MATLAB software will help the readers to identify and choose the best solution for a particular problem.

Intensity-Based Classification and Related Methods in Brain MR Images

2017 ◽  
pp. 573-600
Author(s):  
Luminita Moraru ◽  
Simona Moldovanu ◽  
Anjan Biswas
Keyword(s):  
Image Processing ◽  
Clustering Algorithms ◽  
Magnetic Resonance Images ◽  
Specific Reference ◽  
Research Fields ◽  
Technical Developments ◽  
Highly Active ◽  
The Subject ◽  
Active Research

Today, medical image processing and analysis are highly active research fields boosted by rapid technical developments in medical imaging field. This chapter describes common procedures such as thresholding methods and clustering algorithms (both non-hierarchical and hierarchical approaches) used for digital image processing, with specific reference to brain magnetic resonance images. These techniques represent starting points for other sophisticated methods such as segmentation and classification. The results, which are an outcome of these methods, are used for classification of neurodegenerative diseases such as Alzheimer, Pick's, Huntington's or cerebral calcinosis. A number of applications together with the code listing are provided with the aim to make the subject accessible and practical. The MATLAB software will help the readers to identify and choose the best solution for a particular problem.

scholarly journals Adversary Models for Mobile Device Authentication

2022 ◽  
Vol 54 (9) ◽  
pp. 1-35
Author(s):  
René Mayrhofer ◽  
Stephan Sigg
Keyword(s):  
Mobile Device ◽  
User Authentication ◽  
Security Analysis ◽  
Highly Active ◽  
Remote Authentication ◽  
Security Properties ◽  
Active Research ◽  
Adversary Model ◽  
Vast Range

Mobile device authentication has been a highly active research topic for over 10 years, with a vast range of methods proposed and analyzed. In related areas, such as secure channel protocols, remote authentication, or desktop user authentication, strong, systematic, and increasingly formal threat models have been established and are used to qualitatively compare different methods. However, the analysis of mobile device authentication is often based on weak adversary models, suggesting overly optimistic results on their respective security. In this article, we introduce a new classification of adversaries to better analyze and compare mobile device authentication methods. We apply this classification to a systematic literature survey. The survey shows that security is still an afterthought and that most proposed protocols lack a comprehensive security analysis. The proposed classification of adversaries provides a strong and practical adversary model that offers a comparable and transparent classification of security properties in mobile device authentication.

scholarly journals Questionnaires or Inner Feelings: Who Measures the Engagement Better?

2020 ◽  
Vol 10 (2) ◽  
pp. 609
Author(s):  
Francesca Nonis ◽  
Elena Carlotta Olivetti ◽  
Federica Marcolin ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti ◽  
...  
Keyword(s):  
New Product ◽  
User Engagement ◽  
Expression Recognition ◽  
Interaction Domain ◽  
Video Frames ◽  
Modeling Software ◽  
The Face ◽  
The Subject ◽  
Active Research

This work proposes an innovative method for evaluating users’ engagement, combining the User Engagement Scale (UES) questionnaire and a facial expression recognition (FER) system, active research topics of increasing interest in the human–computer interaction domain (HCI). The subject of the study is a 3D simulator that reproduces a virtual FabLab in which users can approach and learn 3D modeling software and 3D printing. During the interaction with the virtual environment, a structured-light camera acquires the face of the participant in real-time, to catch its spontaneous reactions and compare them with the answers to the UES closed-ended questions. FER methods allow overcoming some intrinsic limits in the adoption of questioning methods, such as the non-sincerity of the interviewees and the lack of correspondence with facial expressions and body language. A convolutional neural network (CNN) has been trained on the Bosphorus database (DB) to perform expression recognition and the classification of the video frames in three classes of engagement (deactivation, average activation, and activation) according to the model of emotion developed by Russell. The results show that the two methodologies can be integrated to evaluate user engagement, to combine weighted answers and spontaneous reactions and to increase knowledge for the design of the new product or service.

High-precision Classification of Small Insects with Similar Color and Shape Using Image Processing

2016 ◽  
Vol 136 (8) ◽  
pp. 1120-1127 ◽  
Author(s):  
Naoya Ikemoto ◽  
Kenji Terada ◽  
Yuta Takashina ◽  
Akio Nakano
Keyword(s):  
Image Processing ◽  
High Precision

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

THE ISSUE OF CONTEXT AND SOCIOLOGICAL POETICS OF THE "BAKHTIN'S CIRCLE"

2020 ◽  
pp. 10-18
Author(s):  
Grigorii I. Nesmeyanov ◽  
Keyword(s):  
Discourse Analysis ◽  
Intellectual History ◽  
Literary Theory ◽  
Philosophical Hermeneutics ◽  
Research Fields ◽  
Interdisciplinary Field ◽  
Scientific Disciplines ◽  
Methodological Approaches ◽  
A Current

The article formulates main questions related to the concept of context. The issue of context is considered as a current-day interdisciplinary field of research. There are many definitions of context in dictionaries and in various humanities (including scientific disciplines). In connection with that issue various methodological approaches arise in the humanities, which can be designated by the umbrella term “contextual”. By the example of one of such approaches to the sociological poetics of the “Bakhtin’s circle”, the author substantiates the possibility of creating an interdisciplinary classification of contextual approaches. That classification may include scientific developments of different years and research fields, including: philosophical hermeneutics, a number of approaches to the Russian and foreign literary theory (M.M. Bakhtin, Yu.M. Lotman, B.M. Eichenbaum, F. Moretti, A. Compagnon, etc.), intellectual history, discourse analysis, etc.

СОЦИАЛЬНАЯ КОНФЛИКТОЛОГИЯ: ТЕОРЕТИКО-ИСТОРИЧЕСКИЙ АСПЕКТ

2020 ◽  
Vol 15 (2) ◽  
pp. 68
Author(s):  
А. Н. Сухов
Keyword(s):  
Theory And Practice ◽  
Important Task ◽  
Social Conflicts ◽  
Psychological Approach ◽  
Structure Dynamics ◽  
History Of ◽  
The Subject ◽  
First Time

This given article reveals the topicality not only of destructive, but also of constructive, as well as hybrid conflicts. Practically it has been done for the first time. It also describes the history of the formation of both foreign and domestic social conflictology. At the same time, the chronology of the development of the latter is restored and presented objectively, in full, taking into account the contribution of those researchers who actually stood at its origins. The article deals with the essence of the socio-psychological approach to understanding conflicts. The subject of social conflictology includes the regularities of their occurrence and manifestation at various levels, spheres and conditions, including normal, complicated and extreme ones. Social conflictology includes the theory and practice of diagnosing, resolving, and resolving social conflicts. It analyzes the difficulties that occur in defining the concept, structure, dynamics, and classification of social conflicts. Therefore, it is no accident that the most important task is to create a full-fledged theory of social conflicts. Without this, it is impossible to talk about effective settlement and resolution of social conflicts. Social conflictology is an integral part of conflictology. There is still a lot of work to be done, both in theory and in application, for its complete design. At present, there is an urgent need to develop conflict-related competence not only of professionals, but also for various groups of the population.

Color Region Classification of Flue-cured Tobacco Leaves Based on the Image Processing and Support Vector Machine

2013 ◽  
Vol 38 (2) ◽  
pp. 374-379 ◽  
Author(s):  
Zhi-Li PAN ◽  
Meng QI ◽  
Chun-Yang WEI ◽  
Feng LI ◽  
Shi-Xiang ZHANG ◽  
...  
Keyword(s):  
Image Processing ◽  
Support Vector Machine ◽  
Support Vector ◽  
Tobacco Leaves ◽  
Region Classification

Social Movements in Latin America: Mapping the Literature

2020 ◽  
Author(s):  
Nicolás M. Somma
Keyword(s):  
Political Economy ◽  
Social Movements ◽  
Latin American ◽  
Transnational Activism ◽  
Organizational Fields ◽  
Family Labor ◽  
American Sociology ◽  
Research Fields ◽  
Vast Literature ◽  
Active Research

The study of social movements is currently one of the most active research fields in Latin American sociology. This article maps the vast literature on Latin American social movements (LASMs) from the late 1980s to the present. After briefly discussing how scholars have conceptualized LASMs, it presents seven influential approaches: structuralism, political economy, political context, organizational fields, “new social movements,” frames and emotions, and transnational activism. Then it discusses some works that zero in on the specificity of LASMs. It closes with a brief summary of the five coming chapters, each of which is devoted to a specific social movement “family”: labor, women’s, student, indigenous, and anti-globalization.

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