Selected Algorithms of Quantitative Image Analysis for Measurements of Properties Characterizing Interfacial Interactions at High Temperatures

Strzecha, K.

doi:10.1142/9789814583725_0015

Cited by 2 publications

(8 citation statements)

References 104 publications

(90 reference statements)

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“…The measurement method related to THERMO-WET system is based on image processing and analysis algorithms, and is conducted using the sessile drop technique [17]. In short, the method works as follows.…”

Section: Methodsmentioning

confidence: 99%

“…The measurement method related to THERMO-WET system is based on image pro cessing and analysis algorithms, and is conducted using the sessile drop technique [17] In short, the method works as follows. The camera records and monitors images of the melting process of the specimen (in this study, this specimen is copper) placed inside the high-temperature furnace.…”

Section: Methodsmentioning

confidence: 99%

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An Edge Detection Method Based on Local Gradient Estimation: Application to High-Temperature Metallic Droplet Images

2022

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Edge detection is a fundamental step in many computer vision systems, particularly in image segmentation and feature detection. There are a lot of algorithms for detecting edges of objects in images. This paper proposes a method based on local gradient estimation to detect metallic droplet image edges and compare the results to a contour line obtained from the active contour model of the same images, and to results from crowdsourcing to identify droplet edges at specific points. The studied images were taken at high temperatures, which makes the segmentation process particularly difficult. The comparison between the three methods shows that the proposed method is more accurate than the active contour method, especially at the point of contact between the droplet and the base. It is also shown that the reliability of the data from the crowdsourcing is as good as the edge points obtained from the local gradient estimation method.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

An Edge Detection Method Based on Local Gradient Estimation: Application to High-Temperature Metallic Droplet Images

2022

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“…An automated system for measuring surface phenomena occurring in contact of liquid and solid phases is shown in figure 1 [20,24]. This system is named THERMO-WET, which can measure the surface tension of a liquid and the wetting angle of a solid by a liquid.…”

Section: Sessile Drop Methods and Measurement Systemmentioning

confidence: 99%

“…The measurement system (figure 1) consists of a two zone high-temperature electric furnace equipped with a high-precision temperature controller, a process gases supply system, a system for loading and discharge of the specimen, a CCD camera coupled with the computer controlling the measurement process, and specialized programs for image processing and analysis, data processing, editing and archiving of results [20,24].…”

Section: Sessile Drop Methods and Measurement Systemmentioning

confidence: 99%

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A new image analysis algorithm for contact angle measurement at high temperature

Strzecha

2019

Meas. Sci. Technol.

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In recent years there has been considerable progress in automated techniques for measuring basic parameters characterizing interfacial interaction. However, the existing automated measurement systems can only measure properties of selected materials in a narrow temperature range. Also, the existing image processing and analysis algorithms are sensitive to interference and require precise positioning of the specimen. It is particularly difficult to use the algorithms to measure the specimen at high temperature, because the quality of acquired images is affected not only by the imperfection of the vision subsystem but also by the distortion due to the flow of protective gases. This paper presents a new image analysis algorithm, which has been developed for fully automatic measurement of the contact angle in a wide temperature range for a variety of materials. The measurement is based on successive approximation of the specimen edge with ellipses. The algorithm has been implemented in a system, which can measure surface tension and wetting angle, and tested in a wide temperature range for a variety of specimen materials. This algorithm has a number of advantages over the existing ones, in particular immunity to the shape, size and location of the specimen and low computational cost. The obtained results are independent of the subjective assessment of the measuring system operator with high reproducibility.

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Selected Algorithms of Quantitative Image Analysis for Measurements of Properties Characterizing Interfacial Interactions at High Temperatures

Cited by 2 publications

References 104 publications

An Edge Detection Method Based on Local Gradient Estimation: Application to High-Temperature Metallic Droplet Images

An Edge Detection Method Based on Local Gradient Estimation: Application to High-Temperature Metallic Droplet Images

A new image analysis algorithm for contact angle measurement at high temperature

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