Studies on application of image processing in various fields: An overview

Prabaharan, T.; Periasamy, P. S.; Mugendiran, V.; Ramanan, .

doi:10.1088/1757-899x/961/1/012006

Cited by 16 publications

(6 citation statements)

References 22 publications

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“…T Prabaharan et al (2020) studied the applications of image processing in different elds. In their research, they focused on the applications of image processing techniques in different elds such as construction, uid ow, thermal imaging, medical industries, fruit and vegetable industries, and showed that the use of image processing techniques leads to quality products that can reduce time and costs.…”

Section: Introductionmentioning

confidence: 99%

Application of digital image processing in determination of soil consolidation coefficient

paknejad,

Ejlali,

Fattahi

et al. 2024

Preprint

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In geotechnical engineering, in order to perform analyzes related to consolidation settlement, appropriate values of consolidation coefficient should be available. One-dimensional consolidation test with Casagrande odometer is a conventional method to determine the value of consolidation coefficient. Due to the recent significant developments in digital image technology in the field of geotechnical engineering and due to the reasonable costs and high accuracy of measurement, various researchers have used this technique in the analysis of soil deformation characteristics. In this research, the digital image processing (DIP) technique has been used to determine the deformation of the consolidation sample during the consolidation process. Due to the limitations of the conventional consolidation machine in terms of sample dimensions and also the lack of visibility of the sample and as a result the inability to take pictures, a new large-scale consolidation machine has been made. In order to ensure the proper functioning of the new device, 3 series of consolidation tests have been performed on Tabriz saturated clay samples with the new consolidation device as well as the conventional consolidation device. The comparison of the results shows that the consolidation parameters measured by the new device are comparable to the conventional odometer device. Then, by performing 4 series of consolidation tests with a new consolidation device and taking pictures of the sample during the consolidation process, the information related to the deformation of the sample was recorded and with the help of the DIP technique, the deformation of the consolidation sample, and as a result, the load-deformation information was measured and the consolidation coefficient of the samples has been determined based on them. The results show the accuracy and efficiency of the DIP technique in determining soil consolidation parameters.

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Section: Introductionmentioning

confidence: 99%

Application of digital image processing in determination of soil consolidation coefficient

paknejad,

Ejlali,

Fattahi

et al. 2024

Preprint

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“…Looking at possible inexpensive solutions, measurement techniques based on image processing algorithms are used in many fields [36,37], from the research of physical phenomena [38][39][40][41], of environmental events [42][43][44], or medical research [45][46][47] to the assessment of industrial faults [48][49][50]. These types of algorithms provide non-invasive measurement capabilities, efficient ways to process big amounts of data, are cost-efficient, offer improved and reliable detection accuracy, and significantly reduce human error.…”

Section: Introductionmentioning

confidence: 99%

Ice Accretion: Image Post-Processing Measurement Techniques for 2D Ice Shapes

et al. 2023

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Ice accretion poses substantial safety hazards for the manned and unmanned aviation industries. Its study is essential for icing events risk assessment and for the development of efficient ice protection systems. The existing ice accretion measurement techniques—casting, molding, and laser-scanning—are time-consuming, sometimes cumbersome to use, and highly expensive, while hand tracing is inexpensive, but has lower accuracy and time-consuming post-processing. This work presents two low-cost, fast, and easy-to-use measurement techniques for 2D ice accretion profiles. Both employ algorithms of automatic ice shape detection, one based on unmediated image-processing, another based on the processing of manual ice tracings. The techniques are applied to ice accretion experiments conducted in an icing wind tunnel at low Reynolds numbers, and their results are validated against ice thickness caliper measurements. A comparison of the results shows that both techniques accurately measure the leading-edge ice thickness and the 2D shape of the ice accretion profiles. One technique is faster, with higher measurement accuracy, but produces interrupted-line 2D ice profiles and requires good lighting conditions, while the other generates continuous-line 2D profiles and has no application restriction, but it is slower, with lower accuracy. A discussion is conducted, aiming to help one determine the best applications for each ice accretion measurement technique presented.

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Section: Introductionmentioning

confidence: 99%

“…To address this need, one prospective solution is the combination of digital and optical devices; this combination has emerged as a potential solution for transforming the built environment [11]. These techniques have found widespread utility in tasks such as land surveys, structural damage monitoring, structural health assessment, and defects study [11,12]. A particularly noteworthy advancement is the introduction of backlighting illumination in fenestration, which has amplified these technologies' capabilities, facilitating the examination of outlines and the interior of transparent objects [13].…”

Section: Introductionmentioning

confidence: 99%

Ultraviolet Radiation Transmission in Building’s Fenestration: Part II, Exploring Digital Imaging, UV Photography, Image Processing, and Computer Vision Techniques

Onatayo

Srinivasan

Shah³

2023

Buildings

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The growing demand for sustainable and energy-efficient buildings has highlighted the need for reliable and accurate methods to detect fenestration deterioration and assess UV radiation transmission. Traditional detection techniques, such as spectrophotometers and radiometers, discussed in Part I, are often expensive and invasive, necessitating more accessible and cost-effective solutions. This study, which is Part II, provides an in-depth exploration of the concepts and methodologies underlying UV bandpass-filtered imaging, advanced image processing techniques, and the mechanisms of pixel transformation equations. The aim is to lay the groundwork for a unified approach to detecting ultraviolet (UV) radiation transmission in fenestration glazing. By exploiting the capabilities of digital imaging devices, including widely accessible smartphones, and integrating them with robust segmentation techniques and mathematical transformations, this research paves the way for an innovative and potentially democratized approach to UV detection in fenestration glazing. However, further research is required to optimize and tailor the detection methods and approaches using digital imaging, UV photography, image processing, and computer vision for specific applications in the fenestration industry and detecting UV transmission. The complex interplay of various physical phenomena related to UV radiation, digital imaging, and the unique characteristics of fenestration glazing necessitates the development of a cohesive framework that synergizes these techniques while addressing these intricacies. While extensively reviewing existing techniques, this paper highlights these challenges and sets the direction for future research in the UV imaging domain.

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Studies on application of image processing in various fields: An overview

Cited by 16 publications

References 22 publications

Application of digital image processing in determination of soil consolidation coefficient

Application of digital image processing in determination of soil consolidation coefficient

Ice Accretion: Image Post-Processing Measurement Techniques for 2D Ice Shapes

Ultraviolet Radiation Transmission in Building’s Fenestration: Part II, Exploring Digital Imaging, UV Photography, Image Processing, and Computer Vision Techniques

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