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.

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.

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.

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 Study on compatibility optimization of resin-based permeable pavement bricks

2021 ◽  
Vol 237 ◽  
pp. 03007
Author(s):  
Menghao Luo ◽  
Xiong Zhang ◽  
Heng Zhang ◽  
Xiaofu Wang ◽  
Rongrong Du
Keyword(s):  
Compressive Strength ◽  
Water Permeability ◽  
Material Selection ◽  
Optimization Method ◽  
Permeable Pavement ◽  
Filtration Performance ◽  
Relative Standard ◽  
Different Characteristics ◽  
Cementing Material ◽  
The Relationship

The permeable pavement plays an important role in mitigating urban flooding. In order to explore the relationship between materials and properties to better guide the practical production of resin-based permeable bricks, 10 kinds of representative aggregate samples with obvious different characteristics were selected for preparation. In this study, Image Pro Plus was used to binarize the acquired image pictures of the aggregate so as to obtain particle group characteristic parameters. The properties and porosity of the brick were measured in order to describe the influence of the material. The results are as follows. The relative standard deviation of aggregate and the amount of cementing material are negatively related to the compressive strength of permeable bricks, but positively related to water permeability and filtration performance. The roundness and roughness of the aggregate are the opposite. Furthermore, the porosity of the permeable brick is the essential reason for this phenomenon, that is, as the porosity increase, the compressive strength decrease, but the water permeability and the filtration performance become better. In the end, an optimization method for the compatibility of resin-based pavement permeable bricks was proposed through reflecting all factors in a two-bit flat grayscale image which can be applied in performance prediction and guidance of material selection.

Evaluation of Material Surface Corrosion Based on Image Recognition

2014 ◽  
Vol 889-890 ◽  
pp. 1048-1051
Author(s):  
Xue Wu Zhang
Keyword(s):  
Image Recognition ◽  
Computer Technology ◽  
Evaluation Method ◽  
Texture Features ◽  
Ccd Camera ◽  
Material Surface ◽  
Color Information ◽  
Surface Corrosion ◽  
Occurrence Matrix ◽  
Computer Recognition

The objective of this work is to discuss the Evaluation method of material surface corrosion based on image recognition of computer technology. The color information and texture of the material surface corrosion is obtained and digitalized by the CCD camera, and are processed by the computer; the indexes of color information is extracted based on the color model and texture features are extracted from the corrosion images based gray occurrence matrix. Those features are compared to the features of standard image of each kind of material surface corrosion grade in image database. Finally, the material surface corrosion grade is defined. The research implies that the computer recognition technology could be used to evaluate the corrosion grade of material surface corrosion.

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.

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.

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.

An evaluation of ECT sample height for small flute board grades and Box Manufacturer’s Certification compliance

TAPPI Journal ◽  
2009 ◽  
Vol 8 (6) ◽  
pp. 24-28
Author(s):  
CORY JAY WILSON ◽  
BENJAMIN FRANK
Keyword(s):  
Compressive Strength ◽  
Compressive Load ◽  
Test Sample ◽  
Test Methods ◽  
Test Method ◽  
Initial Development ◽  
Sample Height ◽  
Relationship Of ◽  
The Relationship ◽  
Corrugated Fiberboard

TAPPI test T811 is the specified method to ascertain ECT relative to box manufacturer’s certification compliance of corrugated fiberboard under Rule 41/ Alternate Item 222. T811 test sample heights were derived from typical board constructions at the time of the test method’s initial development. New, smaller flute sizes have since been developed, and the use of lighter weight boards has become more common. The T811 test method includes sample specifications for typical A-flute, B-flute, and C-flute singlewall (and doublewall and triplewall) structures, but not for newer thinner E-flute or F-flute structures. This research explores the relationship of ECT sample height to measured compressive load, in an effort to determine valid E-flute and F-flute ECT sample heights for use with the T811 method. Through this process, it identifies challenges present in our use of current ECT test methods as a measure of intrinsic compressive strength for smaller flute structures. The data does not support the use of TAPPI T 811 for ECT measurement for E and F flute structures, and demonstrates inconsistencies with current height specifi-cations for some lightweight B flute.

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