Human Health Diagnosis System Based on Iris Features

2017 ◽  
pp. 118-145
Author(s):  
Poonguzhali N ◽  
M. Ezhilarasan ◽  
R. Hariharan ◽  
N. Praveen Devaraajan
Keyword(s):  
Human Health ◽  
Texture Features ◽  
High Accuracy ◽  
Health Condition ◽  
Statistical Measure ◽  
Human Iris ◽  
Authentication System ◽  
Real Time Applications ◽  
Occurrence Matrix ◽  
The Relationship

Iris feature has been used in authentication systems in many real time applications and is proved to provide high accuracy. Apart from authentication iris features can also be used for detecting pathological changes in human body and diagnose human health. The present study analyses the relationship between human iris anatomy and their health, as it is proved that changes in human health condition reflects the iris. Basically, in authentication system iris texture features are used for identification, in the proposed work iris texture and geometric features can also be deployed in diagnosing human health. The texture features present in the human iris are extracted using the mathematical statistical measure which is used to specify the characteristics of the texture of an image using gray-level co-occurrence matrix. The iris and pupil are extracted and correlated to the compactness features of the circle. Based on the comparison the system enables in prediction of abnormalities in the iris texture and identifies the affected person.

Human Health Diagnosis System Based on Iris Features

2018 ◽  
pp. 905-928
Author(s):  
Poonguzhali N ◽  
M. Ezhilarasan ◽  
R. Hariharan ◽  
N. Praveen Devaraajan
Keyword(s):  
Human Health ◽  
Texture Features ◽  
High Accuracy ◽  
Health Condition ◽  
Statistical Measure ◽  
Human Iris ◽  
Authentication System ◽  
Real Time Applications ◽  
Occurrence Matrix ◽  
The Relationship

Iris feature has been used in authentication systems in many real time applications and is proved to provide high accuracy. Apart from authentication iris features can also be used for detecting pathological changes in human body and diagnose human health. The present study analyses the relationship between human iris anatomy and their health, as it is proved that changes in human health condition reflects the iris. Basically, in authentication system iris texture features are used for identification, in the proposed work iris texture and geometric features can also be deployed in diagnosing human health. The texture features present in the human iris are extracted using the mathematical statistical measure which is used to specify the characteristics of the texture of an image using gray-level co-occurrence matrix. The iris and pupil are extracted and correlated to the compactness features of the circle. Based on the comparison the system enables in prediction of abnormalities in the iris texture and identifies the affected person.

scholarly journals Human Health Diagnosis System Based on Iris Features

Ophthalmology ◽  
2018 ◽  
pp. 217-240
Author(s):  
Poonguzhali N ◽  
M. Ezhilarasan ◽  
R. Hariharan ◽  
N. Praveen Devaraajan
Keyword(s):  
Human Health ◽  
Texture Features ◽  
High Accuracy ◽  
Health Condition ◽  
Statistical Measure ◽  
Human Iris ◽  
Authentication System ◽  
Real Time Applications ◽  
Occurrence Matrix ◽  
The Relationship

Iris feature has been used in authentication systems in many real time applications and is proved to provide high accuracy. Apart from authentication iris features can also be used for detecting pathological changes in human body and diagnose human health. The present study analyses the relationship between human iris anatomy and their health, as it is proved that changes in human health condition reflects the iris. Basically, in authentication system iris texture features are used for identification, in the proposed work iris texture and geometric features can also be deployed in diagnosing human health. The texture features present in the human iris are extracted using the mathematical statistical measure which is used to specify the characteristics of the texture of an image using gray-level co-occurrence matrix. The iris and pupil are extracted and correlated to the compactness features of the circle. Based on the comparison the system enables in prediction of abnormalities in the iris texture and identifies the affected person.

Research on Predicting Model of Surface Roughness for Ground Engineering Ceramics

2012 ◽  
Vol 476-478 ◽  
pp. 1036-1040
Author(s):  
Xin Li Tian ◽  
Jian Quan Wang ◽  
Bao Guo Zhang ◽  
Fu Qiang Li
Keyword(s):  
Ground Surface ◽  
Texture Features ◽  
Engineering Ceramics ◽  
Texture Parameters ◽  
Digital Microscope ◽  
Occurrence Matrix ◽  
The Relationship ◽  
Regression Theory ◽  
Surface Images

Grinding is the mostly leading machining technology for engineering ceramics. The quality of ground surface can be evaluated by various roughness parameters. And a textural analysis method based on Gray Level Co-occurrence Matrix was employed in researching the roughness of ground ceramics. The relationship between texture features and roughness was investigated through a series of surface images of engineering ceramics collected by a digital microscope. The sampling offset and total gray levels of surface images were determined firstly. Then 4 GLCMs were built up to calculate the average of texture features. And 6 parameters were fixed as main texture parameters. Furthermore, the multiple nonlinear regression theory was used to assess the relation between the texture features and roughness Ra. By statistic test and comparison, the deviation of calculated Ra and actual Ra is less than 0.25. It is shown that this relation is much satisfactory and the method may be suitable for quickly measuring the roughness of ground ceramics.

Monitoring Volcanic Activity of Baekdu Mountain based on Ice Area Changes During the Winters of 2015-2020

2021 ◽  
Author(s):  
Arip Syaripudin Nur ◽  
Sungjae Park ◽  
Seulki Lee ◽  
Chang-Wook Lee
Keyword(s):  
Vertical Transmission ◽  
Air Temperature ◽  
Volcanic Activity ◽  
Texture Features ◽  
Support Vector ◽  
Covered Area ◽  
Svm Algorithm ◽  
Highly Correlated ◽  
Occurrence Matrix ◽  
The Relationship

<p>Baekdu Mountain is a 2,744 m high stratovolcano, located on the border of China and North Korea. The mountain has a caldera lake, Lake Cheonji, as a result of past volcanic activity. The ice area changes during winter in Lake Cheonji could act as a proxy for volcanic activity monitoring in Baekdu. As Baekdu laid on a political border, remote sensing allows us to quantify attributes of otherwise inaccessible or dangerous places. We assessed changes in winter (October–April) ice area in a high-altitude groundwater-fed caldera lake using Sentinel-1 synthetic aperture radar (SAR) data acquired from 2015 to 2020. To calculate the ice-covered area, 10 gray level co-occurrence matrix (GLCM) texture features were computed from SAR images obtained with VH (vertical transmission and horizontal reception) and VV (vertical transmission and vertical reception) polarizations. A support vector machine (SVM) algorithm was used to classify ice and water pixels from the GLCM layers, and the results from VH and VV imagery were combined to calculate the total area covered by ice. We examined the relationship between ice area and air temperature from the closest weather station, Samjiyeon using fixed period regression. The ice area was inversely proportional to 30-day averaged air temperature and these variables were highly correlated (-0.86). Our results show that there were no significant ice changes during the period, which indicates that there was no significant volcanic activity in Baekdu Mountain during the winters of 2015–2020. This study is expected to be useful for a better understanding of whether and how ice area changes in volcano lakes aid in eruption forecasting.</p>

Analysis of Image Texture Features Based on Gray Level Co-Occurrence Matrix

2012 ◽  
Vol 204-208 ◽  
pp. 4746-4750 ◽  
Author(s):  
Ying Chen ◽  
Feng Yu Yang
Keyword(s):  
Quality Evaluation ◽  
Texture Features ◽  
Image Texture ◽  
Generation Process ◽  
Gray Level ◽  
Analysis Process ◽  
Comprehensive Information ◽  
Occurrence Matrix ◽  
The Relationship ◽  
Secondary Diagonal

Gray level co-occurrence matrix (GLCM) is a second-order statistical measure of image grayscale which reflects the comprehensive information of image grayscale in the direction, local neighborhood and magnitude of changes. Firstly, we analyze and reveal the generation process of gray level co-occurrence matrix from horizontal, vertical and principal and secondary diagonal directions. Secondly, we use Brodatz texture images as samples, and analyze the relationship between non-zero elements of gray level co-occurrence matrix in changes of both direction and distances of each pixels pair by. Finally, we explain its function of the analysis process of texture. This paper can provided certain referential significance in the application of using gray level co-occurrence matrix at quality evaluation of texture image.

scholarly journals Texture Analysis of The Microstructure of Internal Curing Concrete Based On Image Recognition Technology

2021 ◽  
Author(s):  
Lixia Guo ◽  
Weikai Wang ◽  
Ling Zhong ◽  
Lei Guo ◽  
Fangfang Zhang ◽  
...  
Keyword(s):  
Compressive Strength ◽  
Image Recognition ◽  
Texture Features ◽  
Internal Curing ◽  
Effective Parameters ◽  
Texture Parameter ◽  
Texture Parameters ◽  
Occurrence Matrix ◽  
Cementing Material ◽  
The Relationship

Abstract Mechanical properties of internal curing concrete are greatly affected by its physical properties such as water content, cementing material content, porosity, and saturation. At the micro level, such impact is finally reflected in the surface texture of its materials. In this study, the image recognition technology was used to find that the internal curing concrete samples have significant micromorphology and texture features. A texture parameter–strength model was established based on the relationship between Tamura texture parameters, gray level co-occurrence matrix (GLCM) texture parameters, and the mechanical strength. Due to the characteristics of materials and the sensitivity of parameters, not all Tamura and GLCM texture parameters can effectively characterize the texture features of internal curing concrete materials. In terms of the Tamura texture, coarseness, regularity, and directionality are effective parameters to predict the compressive strength of the internal curing concrete. In terms of the GLCM texture, energy, correlation, entropy, and contrast are effective parameters to predict the compressive strength of the internal curing concrete. Correlations between each texture parameter and compressive strength follow different laws.

Study on the Relationship between Surface Roughness and Texture Features of Engineering Ceramics

2011 ◽  
Vol 697-698 ◽  
pp. 117-120
Author(s):  
Xin Li Tian ◽  
Jian Quan Wang ◽  
Fang Guo
Keyword(s):  
Surface Roughness ◽  
Texture Feature ◽  
Ground Surface ◽  
Texture Features ◽  
Key Factors ◽  
Machined Surface ◽  
Texture Parameters ◽  
Occurrence Matrix ◽  
The Relationship

The surface roughness and surface texture feature both are the key factors to evaluate the ground ceramics surface. The Gray Level Co-occurrence Matrix (GLCM) is introduced to extract and analyze the texture features of ground surface, in order to discover the relationship between texture features and roughness, and predict the roughness of ground ceramics according to the defined texture parameters. Four matrices about different sampling orientations are built up after the sampling offset and total gray levels are determined. By analyzing the correlation about every two features, Contrast, SS and ASM are selected to characterize the texture information of machined surface. Finally, the paper reveals the linear variation laws between Ra, Ry, S, tp and above features. The grounding quality of ceramic products also can be roughly estimated on the ground of that.

Health and Physical Activity in Urban Neighbourhoods. Case Study: Shah Alam City, Selangor, Malaysia

2020 ◽  
Vol 17 (2) ◽  
pp. 11
Author(s):  
Oliver Hoon Leh Ling ◽  
Siti Nur Afiqah Mohamed Musthafa ◽  
Muhammad Solahuddin Hamzah ◽  
Marlyana Azyyati Marzukhi ◽  
Nurul Ashikin Mabahwi
Keyword(s):  
Human Health ◽  
Questionnaire Survey ◽  
Communicable Diseases ◽  
Health Condition ◽  
Environmental Aspects ◽  
Neighbourhood Environment ◽  
Healthy Life ◽  
Non Communicable Diseases ◽  
Urban Neighbourhoods

Environmental health is referring to the health of people in relation to environmental quality. Due to rapid urbanisation, more people are living in urban neighbourhoods. Urban planning and design aspects including the neighbourhood environment are potentially affecting the human healthy lifestyle and health condition. Thus, the relationship between Malaysian neighbourhood environmental aspects and human health has become the concern of this research. One of the neighbourhood units in Shah Alam city had been chosen as the study area for this purpose. Questionnaire survey had been carried out to examine the health condition and physical activeness of residents. Besides, the perception of residents on the quality of neighbourhood environmental aspects also had been collected in the questionnaire survey. The health condition of residents was measured by non-communicable diseases (NCD) and the physical activeness was measured in duration as well as the frequency of physical exercise activities. The study found that the quality of neighbourhood environmental aspects significantly increased the physical activeness of respondents. The physical activeness was positively associated with human health as measured in NCD (heart diseases and high blood pressure, HBP). It shows that neighbourhood environmental (physical and social) aspects are potentially affecting the healthy life of people living in the neighbourhood.Keywords: Healthy life, Neighbourhood environment, Non-communicable diseases (NCD), Physical activeness, Quality.

Health and Medicine in the Islamic Tradition

1990 ◽  
Vol 7 (1) ◽  
pp. 89-90
Author(s):  
Dennis Michael Warren
Keyword(s):  
Health Care ◽  
Medical Care ◽  
Human Health ◽  
Well Being ◽  
Islamic Tradition ◽  
Medical Tradition ◽  
Islamic Thought ◽  
History Of ◽  
Relationship Of ◽  
The Relationship

The late Dr. Fazlur Rahman, Harold H. Swift Distinguished Service Professor of Islamic Thought at the Oriental Institute of the University of Chicago, has written this book as number seven in the series on Health/Medicine and the Faith Traditions. This series has been sponsored as an interfaith program by The Park Ridge Center, an Institute for the study of health, faith, and ethics. Professor Rahman has stated that his study is "an attempt to portray the relationship of Islam as a system of faith and as a tradition to human health and health care: What value does Islam attach to human well-being-spiritual, mental, and physical-and what inspiration has it given Muslims to realize that value?" (xiii). Although he makes it quite clear that he has not attempted to write a history of medicine in Islam, readers will find considerable depth in his treatment of the historical development of medicine under the influence of Islamic traditions. The book begins with a general historical introduction to Islam, meant primarily for readers with limited background and understanding of Islam. Following the introduction are six chapters devoted to the concepts of wellness and illness in Islamic thought, the religious valuation of medicine in Islam, an overview of Prophetic Medicine, Islamic approaches to medical care and medical ethics, and the relationship of the concepts of birth, contraception, abortion, sexuality, and death to well-being in Islamic culture. The basis for Dr. Rahman's study rests on the explication of the concepts of well-being, illness, suffering, and destiny in the Islamic worldview. He describes Islam as a system of faith with strong traditions linking that faith with concepts of human health and systems for providing health care. He explains the value which Islam attaches to human spiritual, mental, and physical well-being. Aspects of spiritual medicine in the Islamic tradition are explained. The dietary Jaws and other orthodox restrictions are described as part of Prophetic Medicine. The religious valuation of medicine based on the Hadith is compared and contrasted with that found in the scientific medical tradition. The history of institutionalized medical care in the Islamic World is traced to awqaf, pious endowments used to support health services, hospices, mosques, and educational institutions. Dr. Rahman then describes the ...

The Food-gut Human Axis: The Effects of Diet on Gut Microbiota and Metabolome

2019 ◽  
Vol 26 (19) ◽  
pp. 3567-3583 ◽  
Author(s):  
Maria De Angelis ◽  
Gabriella Garruti ◽  
Fabio Minervini ◽  
Leonilde Bonfrate ◽  
Piero Portincasa ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Human Health ◽  
Dietary Habits ◽  
Short Chain Fatty Acids ◽  
Human Organism ◽  
Immune Functions ◽  
Intestinal Microbes ◽  
Dietary Components ◽  
Dietary Treatments ◽  
The Relationship

Gut microbiota, the largest symbiont community hosted in human organism, is emerging as a pivotal player in the relationship between dietary habits and health. Oral and, especially, intestinal microbes metabolize dietary components, affecting human health by producing harmful or beneficial metabolites, which are involved in the incidence and progression of several intestinal related and non-related diseases. Habitual diet (Western, Agrarian and Mediterranean omnivore diets, vegetarian, vegan and gluten-free diets) drives the composition of the gut microbiota and metabolome. Within the dietary components, polymers (mainly fibers, proteins, fat and polyphenols) that are not hydrolyzed by human enzymes seem to be the main leads of the metabolic pathways of gut microbiota, which in turn directly influence the human metabolome. Specific relationships between diet and microbes, microbes and metabolites, microbes and immune functions and microbes and/or their metabolites and some human diseases are being established. Dietary treatments with fibers are the most effective to benefit the metabolome profile, by improving the synthesis of short chain fatty acids and decreasing the level of molecules, such as p-cresyl sulfate, indoxyl sulfate and trimethylamine N-oxide, involved in disease state. Based on the axis diet-microbiota-health, this review aims at describing the most recent knowledge oriented towards a profitable use of diet to provide benefits to human health, both directly and indirectly, through the activity of gut microbiota.

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