image processing technique for concrete analysis






an image processing technique that automatically detects and analyses cracks in the digital image of concrete surfaces is proposed. The image processing technique automates the measurement of crack characteristics including the width, length, orientation and crack pattern.

Application of digital image processing to quantitative study of asphalt concrete microstructure
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Asphalt concrete (AC) is a strongly heterogeneous material that consists of asphalt cement, voids, fine particles, sand, and coarse aggregates. A review of the literature reveals that the investigations of AC have mainly concentrated on the macroscopic behavior of the material based on the assumption

Automatic crack recognition system for concrete structures using image processing approach
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Recently, digital image processing technologies have been widely applied in different industries, because computerized technologies were widely utilized. In performance evaluation of deteriorating concrete bridges, the defect recognition such as crack pattern

The correlation between aggregate shape and compressive strength of concrete : Digital image processing approach
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The importance of the shape of aggregate particles on their mechanical behavior is well recognized. In concrete , the shape of aggregate particles has been related to durability, workability, shear resistance, tensile strength, stiffness, and fatigue behavior. In recent years

Crack detection at concrete construction units from photogrammetric data using image processing procedures
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Cracks on the surface of a concrete construction are measured and evaluated by a digital photogrammetric method. Knowing these cracks, the behaviour of the construction, especially using textile reinforcement, can be interpreted. In the photogrammetric data the

Unmanned aerial vehicle (UAV)-powered concrete crack detection based on digital image processing
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Civil infrastructure can suffer from concrete cracks due to the creep, shrinkage, diverse natural loading, aging, and corrosion of reinforcement. Concrete cracks are one of the important features when analyzing the current condition of concrete structures. The shape

Evaluating the static segregation resistance of hardened self-consolidating concrete using image processing technology
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Self-consolidating concrete (SCC) is a highly flowable, non-segregating concrete that spreads into place, fills formwork, and encapsulates reinforcement without mechanical consolidation. SCC is increasingly being used worldwide because it has been found to offer

An image processing approach to asphalt concrete feature extraction
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asphalt concrete superficial feature using a new digital image processing technique based on a 3D computational modeling of CT scan images from asphalt samples. Digital image processing algorithm is developed to identify and detect the 3 phases of asphalt mixture

Air-void analysis system of polished concrete using image processing
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This paper presents an efficient algorithm to distinguish airvoids of polished concrete specimens using image processing for a fully automated image analysis system. In order to distinguish air-voids from aggregates and cement paste, the proposed algorithm adopts

A technique based on image processing for measuring cracks in the surface of concrete structures
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This paper proposes a technique for detecting and analyzing cracks in the surface of concrete . Based on digital image processing , the technique automates the measurement of features such as the width, length, and direction of cracks. The proposed algorithm has a

Intelligent Concrete Health Monitoring (ICHM): An Innovative Method for Monitoring Concrete Structures using Multi Spectral Analysis and Image Processing
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To assure a cost-effective maintenance of ( concrete ) structures during their life-time is important. Monitoring concrete deterioration is the best way to achieve this aim. Some of the most important anomalies in concrete are originated by mechanical, chemical and biological

A methodology for spatial distribution of grain and voids in self-compacting concrete using digital image processing methods
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Digital image processing algorithms for the analysis and characterization of grains and voids in cemented materials were developed using toolbox functions of a mathematical software package. Utilization of grayscale, color and watershed segmentation algorithms and their

Ultrasound ComputerTomography Digital Image Processing for Concrete Hole Inspection
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Digital image processing of ultrasound computer tomography for concrete hole inspection has been done. This system is ubiquitous for testing, inspection, and assessment of concrete quality. The investigated image was generated from ultrasound tomography imaging using

On Application of Image Processing : Study of Digital Image Processing Techniques for Concrete Mixture Images and Its Composition
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Cement, Air-voids and Aggregates. To analyze the compositions of the concrete mixture, the X-ray CT images are used. Digital image processing algorithm is applied to analyze the obtained image . Using this Digital image processing algorithm the obtained image is

Image Processing in Concrete Applications: Review and Prospective
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Innovative methods for precise and timely condition assessment, performance prediction, and maintenance management are constantly being developed for the cost-effective rehabilitation of aging and deteriorating concrete structures. To this end, imaging techniques

Radar image processing for detection of shape of voids under concrete slab
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Radar image processing for detection of shape of voids under concrete slab

Applications and methods based on multi-spectral image processing to Concrete Heritage assessment
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The benefit of the conservation of Historic Buildings and Structures is nowadays globally recognised. In this scope, Concrete Heritage is a most relevant issue, requiring customised guidelines to address the specificities of the material. An adequate maintenance strategy

An algorithm based on image processing for asphalt concrete feature structure
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The objective of this paper is to present an algorithm based on a 3D computational modeling of CT scan images that comes out from asphalt concrete samples. An asphalt mixture is divided in to aggregates; asphalt mastic and air void phases. The 3D microstructure of the

Evaluation of fair-faced concrete surfaces using digital image processing
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In modern architecture concrete is increasingly used as a design feature as well as for its mechanical properties. Therefore, todays concrete architecture is characterized by various forms, textures and high surface quality. The exact determination of the surface quality

Automated Concrete Crack Detection and using Deep leaning and Image Processing Method
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The damage investigation and inspection methods for infrastructures performed in small- scale (type III) facilities are usually visually examined by the inspector using the surveying tools (eg, cracking, crack microscope, etc.) in the field. These methods can interfere with the

A New Auto Detection Of Cement Bounding Quality In Concrete By Image Processing Techniques
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Bounding time is considered as an identification boundary of fresh and hardened of concrete . Initial set refers to a change from a fluid to a rigid state, accompanied by a rapid temperature rise in the body of concrete structures. The final set, express the start of strength


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