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Artículos de revistas sobre el tema "Digital image capture method"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 12 de febrero de 2022

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1

Ahmad, Salman, John Tann, John Gaddy, et al. "Workflow efficiency pilot study of Surgery Viewer©: A secure hands-free intraoperative multimedia interface for Google Glass™." SAGE Open Medicine 7 (January 2019): 205031211983841. http://dx.doi.org/10.1177/2050312119838418.

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Background: The Google Glass™ heads-up-display system has been adopted by the medical field for applications such as image capture, live streaming and decision support. Methods: We designed a custom application for Google Glass™ called Surgery Viewer© to capture patient images and securely transfer them to the electronic medical record. Surgery Viewer© was compared to a standard digital camera and an Apple iOS© device using another image capture application. Comparative workflow metrics included timings of image capture and a usability survey. Results: Ten patients were studied in operating ro

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2

Lai, Guang Jin. "Study on Enhancing Terminal Identification in Track and Field Using Digital X-Ray Photography Image." Advanced Materials Research 989-994 (July 2014): 3851–55. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3851.

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Digital X-ray photography technology is under the control of the computer, to use one-dimensional or 2D X-ray detector to convert the captured image into digital signals directly to using image processing technology. It can realize the function of image analysis. We introduce X-ray photography technology into the terminal identification in track and field, and use the clustering algorithm to improve computer image clustering algorithm. Through capturing the digital signal of human head, arms and legs, it enhances the terminal recognition method in track and field. Finally we use MATLAB to calc

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Song, H. R., and Y. H. Jo. "DIGITAL COLOR REPRODUCTION AND DOCUMENTATION OF OIL PAINTING USING IMAGE PROCESSING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-1-2021 (August 28, 2021): 693–95. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-1-2021-693-2021.

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Abstract. Digital photography is a method easily employed to capture images. Mobile devices such as smartphones and tablets as well as dedicated cameras are used to capture images. Furthermore, as hardware continues to improve, the resolution of images in 100 MP and 8K videos has recently been increased, and the quality of images enhanced through various types of image processing software. However, because the focus of photography is to record a moment activity, recording the orginal color of subject has been pushed back from priority. Digital photographs of cultural heritage are mainly captur

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Morrison, Annie O., and Jerad M. Gardner. "Microscopic Image Photography Techniques of the Past, Present, and Future." Archives of Pathology & Laboratory Medicine 139, no. 12 (2015): 1558–64. http://dx.doi.org/10.5858/arpa.2014-0315-ra.

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Context The field of pathology is driven by microscopic images. Educational activities for trainees and practicing pathologists alike are conducted through exposure to images of a variety of pathologic entities in textbooks, publications, online tutorials, national and international conferences, and interdepartmental conferences. During the past century and a half, photographic technology has progressed from primitive and bulky, glass-lantern projector slides to static and/or whole slide digital-image formats that can now be transferred around the world in a matter of moments via the Internet.

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5

Khan, Sajid, Dong-Ho Lee, Asif Khan, Ahmad Waqas, Abdul Rehman Gilal, and Zahid Hussain Khand. "A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method." Scientific Programming 2020 (May 15, 2020): 1–10. http://dx.doi.org/10.1155/2020/9758049.

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Fingerprint registration and verification is an active area of research in the field of image processing. Usually, fingerprints are obtained from sensors; however, there is recent interest in using images of fingers obtained from digital cameras instead of scanners. An unaddressed issue in the processing of fingerprints extracted from digital images is the angle of the finger during image capture. To match a fingerprint with 100% accuracy, the angles of the matching features should be similar. This paper proposes a rotation and scale-invariant decision-making method for the intelligent registr

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6

Tawfeeq, Yahya. "DIGITAL ROCK ANALYSIS: AN ALTERNATIVE METHOD TO PREDICT PETROPHYSICAL PROPERTIES, CASE STUDY FROM MISHRIF FORMATION." Iraqi Geological Journal 53, no. 2C (2020): 34–55. http://dx.doi.org/10.46717/igj.53.2c.4rs-2020-09-04.

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The digital core analysis of petrophysical properties replace the use of conventional core analysis by reducing the required time for investigation. Also, the ability to capture pore geometries and fluid behavior at the pore-scale improves the understanding of complex reservoir structures. In this work, 53 samples of 2D thin section petrographic images were used for analyses from the core plugs taken from the Buzurgan oil field. Each sample was impregnated with blue-dyed epoxy, thin sectioned and then was stained for discrimination of carbonate minerals. Each thin section has been described in

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7

Hu, Xiao Lang. "Study on Terminal Identification Enhancement Method of Track and Field Using Digital X-Ray Photography Images." Applied Mechanics and Materials 602-605 (August 2014): 2084–88. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2084.

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Due to the development of image segmentation and reconstruction technology, it provides a larger space for development of the image enhancement technology. Under the promoting of the image processing calculation, the capture and recognition function of digital X-ray photography technology are stronger, and the image processing precision is higher. Based on the variation principle, this paper uses the function approximation to improve the X-ray photography image processing technology, and obtains the new boundary value reconstruction condition of X-ray photography. In order to verify the effect

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Wilson, Trevor C., W. A. Charlton, and Usher Posluszny. "Increased image depth for epi-illumination microscopy." Canadian Journal of Botany 84, no. 3 (2006): 508–13. http://dx.doi.org/10.1139/b06-018.

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Epi-illumination microscopy is a useful tool for studying morphology, but its use is limited by a small depth of field. Using digital editing, we have enhanced the depth of field for epi-illumination micrographs obtained for a number of shoot apices. For each specimen, an epi-illumination microscope fitted with Leitz Ultropak dipping cones was used to capture a series of digital images at successive levels of focus. Adobe® Photoshop® was used to produce one image by assembling only the focused areas of the image series. This stacking method offers a better way to present epi-illumination micro

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9

Yu, Fu Sheng, Zhong Guo Sun, Sheng Jiang Yin, Teng Fei Li, and Wei Kang Shi. "Study on the Positioning Error of Turntable Based on Machine Vision System." Applied Mechanics and Materials 530-531 (February 2014): 467–71. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.467.

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This paper developed a turntable positioning error measurement system based on machine vision. The system consists of image acquisition devices, the image acquisition card, computer and data processing software and other components. Among them, the image acquisition devices consisted of two digital CCD cameras and two microscope objectives. The image acquisition devices capture images of fixture fixed on the turntable in horizontal and vertical direction. Then, the collected images are processed by adopting the filtering method, binarization method, edge detection method, calibration method an

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SANTOS, A. H. A., R. L. S. PITANGUEIRA, G. O. RIBEIRO, and E. V. M. CARRASCO. "Concrete modulus of elasticity assessment using digital image correlation." Revista IBRACON de Estruturas e Materiais 9, no. 4 (2016): 587–94. http://dx.doi.org/10.1590/s1983-41952016000400007.

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Abstract This paper presents the use of the technique of digital image correlation for obtaining the elasticity modulus of concrete. The proposed system uses a USB microscope that captures images at a rate of five frames per second. The stored data are correlated with the applied loads, and a stress-strain curve is generated to determine the concrete compressive modulus of elasticity. Two different concretes were produced and tested using the proposed system. The results were compared with the results obtained using a traditional strain gauge. It was observed a difference in the range of 4% be

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11

Tang, Jie, Jian Li, and Ping Tan. "Demosaicing by Differentiable Deep Restoration." Applied Sciences 11, no. 4 (2021): 1649. http://dx.doi.org/10.3390/app11041649.

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A mosaic of color filter arrays (CFAs) is commonly used in digital cameras as a spectrally selective filter to capture color images. The captured raw image is then processed by a demosaicing algorithm to recover the full-color image. In this paper, we formulate demosaicing as a restoration problem and solve it by minimizing the difference between the input raw image and the sampled full-color result. This under-constrained minimization is then solved with a novel convolutional neural network that estimates a linear subspace for the result at local image patches. In this way, the result in an i

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12

Aminu, Ali Ahmad, and Nwojo Nnanna Agwu. "General Purpose Image Tampering Detection using Convolutional Neural Network and Local Optimal Oriented Pattern (LOOP)." Signal & Image Processing : An International Journal 12, no. 2 (2021): 13–32. http://dx.doi.org/10.5121/sipij.2021.12202.

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Digital image tampering detection has been an active area of research in recent times due to the ease with which digital image can be modified to convey false or misleading information. To address this problem, several studies have proposed forensics algorithms for digital image tampering detection. While these approaches have shown remarkable improvement, most of them only focused on detecting a specific type of image tampering. The limitation of these approaches is that new forensic method must be designed for each new manipulation approach that is developed. Consequently, there is a need to

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13

Yang, Fu Jun, and Xiao Yuan He. "Digital Speckle Projection for Vibration Measurement by Applying Digital Image Correlation Method." Key Engineering Materials 326-328 (December 2006): 99–102. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.99.

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Digital image correlation method (DICM) is described as a robust in-plane deformation measuring method due to its simple optical setup and the insensitivity against ambient noise. Based on DICM, digital speckle projection has been developed for shape measurement. This paper explores the possibilities for vibration analysis using digital speckle projection together with DICM. A digital speckle pattern, generated by computer, is projected on an object surface using an LCD projector. Then the dynamic deformation modulated speckle images are captured by a high-speed CCD camera and saved in the com

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14

Cao, Jianfang, Junjie Chen, and Haifang Li. "An Adaboost-Backpropagation Neural Network for Automated Image Sentiment Classification." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/364649.

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The development of multimedia technology and the popularisation of image capture devices have resulted in the rapid growth of digital images. The reliance on advanced technology to extract and automatically classify the emotional semantics implicit in images has become a critical problem. We proposed an emotional semantic classification method for images based on the Adaboost-backpropagation (BP) neural network, using natural scenery images as examples. We described image emotions using the Ortony, Clore, and Collins emotion model and constructed a strong classifier by integrating 15 outputs o

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Barbedo, Jayme Garcia Arnal. "An Automatic Method to Detect and Measure Leaf Disease Symptoms Using Digital Image Processing." Plant Disease 98, no. 12 (2014): 1709–16. http://dx.doi.org/10.1094/pdis-03-14-0290-re.

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A method is presented to detect and quantify leaf symptoms using conventional color digital images. The method was designed to be completely automatic, eliminating the possibility of human error and reducing time taken to measure disease severity. The program is capable of dealing with images containing multiple leaves, further reducing the time taken. Accurate results are possible when the symptoms and leaf veins have similar color and shade characteristics. The algorithm is subject to one constraint: the background must be as close to white or black as possible. Tests showed that the method

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Burns, Peter D., Don Williams, John Griffith, Heidi Hall, and Scott Cahall. "Application of ISO Standard Methods to Optical Design for Image Capture." Electronic Imaging 2020, no. 9 (2020): 240–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.9.iqsp-240.

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The ISO 12233 standard for digital camera resolution includes two methods for the evaluation of camera performance in terms of a Spatial Frequency Response (SFR). In many cases, the measured SFR can be taken as a measurement of the camera-system Modulation Transfer Function (MTF), used in optical design. In this paper, we investigate how the ISO 12233 method for slantededge analysis can be applied to such an optical design. Recent improvements to the ISO method aid in the computing of both sagittal and tangential MTF, as commonly specified for optical systems. From computed optical simulations

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Pratama, Fandy Surya, Istianah Muslim, and Muhammad Ihsan Zul. "Digitalization of Human Head Anthropometry Measurement Using Pixels Measurement Method." IJITEE (International Journal of Information Technology and Electrical Engineering) 2, no. 3 (2019): 63. http://dx.doi.org/10.22146/ijitee.43698.

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Head Anthropometry is a part of anthropometry that needed to be measured carefully. It is because human head becomes an important part that necessary to be protected. The protection aims to look after the safety of the human head. Safety factors can be achieved by designing head products. Therefore, head anthropometry data is required to make a product design Currently, data retrieval of head anthropometry is still using several measuring devices such as anthropometers, sliding callipers, spreading callipers, and tape gauges. This measurement method makes the standard deviation become higher a

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18

Yuandari, Upa. "Improving the Quality of Digital Images Using the Image Averaging Method." IJICS (International Journal of Informatics and Computer Science) 4, no. 1 (2020): 5. http://dx.doi.org/10.30865/ijics.v4i1.1982.

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Image is a representation (picture), similarity, or imitation of an object. The use of digital images plays an important role as a form of information due to its advantages. Although it is rich in information, not all images have a good visual appearance. This can be due to interference in the form of noise, color intensity that is too contrasting or blurred. Noise itself is a disturbance caused by distorted digital data received by the image data receiver, starting from the movement during shooting by optical devices such as cameras, the use of optical devices that are not in focus, short lig

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TURNER, JAMES A. "Digital imaging of micro bivalves." Zoosymposia 1 (July 25, 2008): 47–61. http://dx.doi.org/10.11646/zoosymposia.1.1.7.

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Advancements in digital camera technology, microscope optics and image capture software have allowed researchers to create more detailed and higher quality images than ever before. Digital imaging using light microscopy at high magnifi - cations does, however, have its limitations. Features that may be diagnostic for species identifi cation can often be diffi cult to illustrate using standard imaging techniques alone, and other methods, such as Scanning Electron Microscopy (SEM) and traditional line illustration, may be better suited to the task. The best results are often achieved by using a

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Li, Wen Hui. "Study on the Technology of Digital Image Processing." Applied Mechanics and Materials 687-691 (November 2014): 3555–58. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3555.

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The paper aims to study a design and technique of the image processing based on the architecture of embedded system. Aimed at the own characteristic of embedded system, designing a platform been endowed with more operating functions of embedded image processing with versatility. The author adopts the method of the embedded system design based on the basic functions and characteristic of image processing system, summarizing and comparing of the characteristic and new developments of the EOS for the ARM processor, and finally chooses the embedded Linux for the operating system of our platform, a

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21

Shyu, M. James, and Margaret Chen Lee. "Non-Contact Color Analysis and Digital Archive Method for Blue-and-White Porcelain by Using Spectral Imaging Technology." International Journal of Humanities and Arts Computing 7, supplement (2013): 189–200. http://dx.doi.org/10.3366/ijhac.2013.0069.

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The unique colour representation of Oriental art work distinguishes itself from what has been seen in Western art work. Not only the traditional Oriental watercolour paintings but also the ancient Chinese porcelains show a great deal of interesting colours that have been archived by digital camera in digital archive practice. However, the majority of the current digital cameras operate with RGB filters, which record every pixel in a tri-chromatic manner. There are several limitations for such a tri-chromatic camera. One is that it describes the colour of the object only by three primary colour

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Darmawan, Dika Rizki, Fauziah Fauziah, and Ratih Titi Komalasari. "Aplikasi Perbandingan Sistem Perbaikan Citra Digital menggunakan Metode Dekonvolusi Wiener, Lucy Richardson, dan Regularized." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 4, no. 2 (2020): 116. http://dx.doi.org/10.35870/jtik.v4i2.154.

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In some cases, there is some damage to an image caused by interference during the image capture process. Blurred image damage can be overcome by deconvolution digital image processing. There are various methods to repair the image blur damage, including using the Regularized, Wiener, and Lucy Richardson deconvolution methods. Each blurring image repair method produces a different debluring result of image processing. Image comparison application was built to compare the ability of image restoration results to a Motion Blur image with the algorithms used in deconvolution. Image restoration comp

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23

Mori, Y., K. Kohira, and H. Masuda. "CLASSIFICATION OF POLE-LIKE OBJECTS USING POINT CLOUDS AND IMAGES CAPTURED BY MOBILE MAPPING SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 731–38. http://dx.doi.org/10.5194/isprs-archives-xlii-2-731-2018.

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The vehicle-based mobile mapping system (MMS) is effective for capturing 3D shapes and images of roadside objects. The laser scanner and cameras on the MMS capture point-clouds and sequential digital images synchronously during driving. In this paper, we propose a method for detecting and classifying pole-like objects using both point-clouds and images captured using the MMS. In our method, pole-like objects are detected from point-clouds, and then target objects, which are objects attached to poles, are extracted for identifying the types of pole-like objects. For associating each target obje

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J., Inklebarger, Leddy J., Turner A.H., and Abbas B. "Transabdominal Imaging of the Lumbar Spine with Portable Ultrasound." International Journal Of Medical Science And Clinical Invention 5, no. 1 (2018): 3407–12. http://dx.doi.org/10.18535/ijmsci/v5i1.06.

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Abstract: Research investigating human transadominal ultrasound imaging of the intervertebral disc which first took place in the mid to late 1980’s, was limited by the technology of that time. Later transducer refinements, innovations in harmonic energy control and the digital change-over based on increasingly powerful computer platforms enabled progressive image enhancement with detailed imaging of deeper structures. With appropriate harmonic settings and probe selection, innovations in diagnostic ultrasound resolution now allow for more detailed anterior lumbar spine image capture even

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Dugonik, Bogdan, Aleksandra Dugonik, Maruška Marovt, and Marjan Golob. "Image Quality Assessment of Digital Image Capturing Devices for Melanoma Detection." Applied Sciences 10, no. 8 (2020): 2876. http://dx.doi.org/10.3390/app10082876.

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The fast-growing incidence of skin cancer, especially melanoma, is the guiding principle for intense development of various digital image-capturing devices providing easier recognition of melanoma by dermatologists. Handheld and digital dermoscopy, following of mole changes with smartphones and digital analysing of mole images, is based on evaluation of the colours, shape and deep structures in the skin moles. Incorrect colour information of an image, under- or overexposed images, lack of sharpness and low resolution of the images, can lead to melanoma misdiagnosis. The purpose of our study wa

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C, Dr Naveena, Thanush M, Vinay N.B, and Yaser Ahmed N. "Super Resolution: A Simplified Approach Using GANs." International Journal of Innovative Science and Research Technology 5, no. 7 (2020): 188–91. http://dx.doi.org/10.38124/ijisrt20jul185.

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The project entitled “Super-Resolution: A simplified approach using GANs”, aims to construct a Higher Resolution image from a Lower Resolution image, without losing much detail. In other words, it is a process of up-sampling of an under-sampled image. In the current scenario, there is a high reliance on hardware improvements to capture better highresolution images. Although many digital cameras provide enough HR-imagery, the cost to construct and purchase such a high-end camera is high. Also, many computer vision applications like medical imaging, forensic and many more still have a strong dem

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Carlos Ribeiro da Silva, Luciano, Aline Sousa Camargos, Matheus Henrique Alves Sousa, et al. "TESTES DE DIFERENTES MÉTODOS DE CAPTURA DE IMAGENS DE CÉLULAS ESPERMÁTICAS." COLLOQUIUM AGRARIAE 13, Especial 2 (2017): 444–48. http://dx.doi.org/10.5747/ca.2017.v13.nesp.000248.

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The objective was to test three methods of low cost image capture, in order to make possible the future use of the software in development. Twenty frozen semen samples were used to make the images. One drop of 10μL of semen was added on a slide, and this was carried under a microscope attached to a microscope camera and with a digital camera and a camera phone positioned in the eyepieces of the microscope by means of a holder. A 20-second videos were made. From them, pictures were taken, which the technician used to do the sperm count to compare the range and accuracy of each image capture dev

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Yu, Haicheng, Kun Wang, Ruhai Zhang, et al. "An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece." Mathematical Problems in Engineering 2021 (June 15, 2021): 1–11. http://dx.doi.org/10.1155/2021/9913581.

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Tool wear is a key factor that dominates the surface quality and distinctly influences the generated workpiece surface texture. In order to realize accurate evaluation of the tool wear from the generated workpiece surface after machining process, a new tool wear monitoring method is developed by fractal dimension of the acquired workpiece surface digital image. A self-made simple apparatus is employed to capture the local digital images around the region of interest. In addition, a skew correction method based on local fast Fourier transformation energy is also proposed for the surface texture

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Sun, Mao Heng, Yi Xin Zhao, Wei Jiang, and Tian Tian Feng. "A Scheme for Excavation Displacement Monitoring Based on Image Processing." Applied Mechanics and Materials 226-228 (November 2012): 1923–26. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1923.

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Geotechnical monitoring is integral part of each excavation project and usually done with manual manner. This study proposes a new monitoring method, which combines with image processing and wireless communication to break traditional one. The scheme uses image sensors to capture the images of the cooperative boards. The camera system is calibrated by Zhang Zhengyou calibration method beforehand. Digital signal processors in the image acquisition module generate the undistorted version of the images by the calibration results and utilize Harris corner detection algorithm to extract grid corner

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Tomita, Koji, Kenji Machida, and Zu Guang Zhang. "Development of the Auto Mesh Generation Program for a Digital Image Correlation Method." Key Engineering Materials 462-463 (January 2011): 112–17. http://dx.doi.org/10.4028/www.scientific.net/kem.462-463.112.

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Since the method of performing displacement measurement and stress assessment of material by non-contact comes to capture the spotlight, study of the digital image correlation method which adopted the pattern-matching method for asking for displacement by deformation of a surface speckle pattern has been advanced. When the configuration for an analysis was settled in the rectangle and the square region, the whole-field mesh generation was also possible, but when it became a complicated configuration, the background etc. entered and mesh generation was affected. In order to solve such a problem

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Farias, C. B. M., A. Arrolho, M. C. M. Silva, R. R. Cruz, L. P. N. Ramos, and S. A. M. Souza. "Morphological evaluation of Bertholletia excelsa comparing different methods." Scientific Electronic Archives 13, no. 8 (2020): 35. http://dx.doi.org/10.36560/13820201057.

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Castanheira-do-Brasil is a semi-deciduous species which belongs to forests made up of vegetation specific to the Amazon Forest biome. The objective of this work is to perform the leaf and adult morphometry of B. excelsa by the traditional method and to compare with image analysis processed using the ImageJ program. 30 images of chestnut trees were captured using a Sony GPS Avchd progressive câmera, in a commercial plantation, located between the coordinates 9.89974ºS and 56.32221ºW. The images were analyzed for total height, canopy width (DC), chest diameter height (DBH). All measurements were

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Yu, Cheng Yi, Yi Ying Chang, Yen Chieh Ouyang, Shen Chuan Tai, and Tzu Wei Yu. "Image Tracking and Analysis Algorithm by Independent Component Analysis." Applied Mechanics and Materials 44-47 (December 2010): 1622–27. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.1622.

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Along with digitizing and multimedia era, the image has not changed from the original entity into any changes can be dealt with digital preservation methods. Although the digital image capture technology means more and more developed, but there are still many variables affect the quality of an image. An image quality usually depends on the user's usage or changes in the natural environment. Due to the natural environment of the most common factors that influence is light, so an image of the brightness distribution over the target object caused by extreme hardly recognizable condition common. T

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Baramsyah, Haqul, and Less Rich. "Applicability Assessments of Close-Range Photogrammetry for Slope Face 3D Modelling." Aceh International Journal of Science and Technology 8, no. 3 (2020): 143–50. http://dx.doi.org/10.13170/aijst.8.3.14650.

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The digital single lens reflex (DSLR) cameras have been widely accepted to use in slope face photogrammetry rather than the expensive metric camera used for aerial photogrammetry. 3D models generated from digital photogrammetry can approach those generated from terrestrial laser scanning in term of scale and level of detail. It is cost effective and has equipment portability. This paper presents and discusses the applicability of close-range digital photogrammetry to produce 3D models of rock slope faces. Five experiments of image capturing method were conducted to capture the photographs as t

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Yao, Li Feng, and Jian Fei Ouyang. "Catching Data from Displayers by Machine Vision." Advanced Materials Research 566 (September 2012): 124–29. http://dx.doi.org/10.4028/www.scientific.net/amr.566.124.

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With the emergence of eHealth, the importance of keeping digital personal health statistics is quickly rising in demand. Many current health assessment devices output values to the user without a method of digitally saving the data. This paper presents a method to directly translate the numeric displays of the devices into digital records using machine vision. A wireless-based machine vision system is designed to image the display and a tracking algorithm based on SIFT (Scale Invariant Feature Transform) is developed to recognize the numerals from the captured images. First, a local camera cap

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Guo, Xiang, Yu Long Li, Tao Suo, Zhong Bin Tang, and Ying Gang Miao. "Stationary Wavelet Transform Based on De-Noising of Digital Image Correlation in the Investigation on the Impact Response." Key Engineering Materials 715 (September 2016): 128–32. http://dx.doi.org/10.4028/www.scientific.net/kem.715.128.

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This paper proposes a method for removing image noise form images captured during the impact experiment for the DIC measurement. This paper focuses on estimating the light noise from captured images taken by the deformation during the impact. An image enhanced method based on stationary wavelet transform was employed to improve the stability and accuracy in the DIC measurement. The proposed method was investigated under the impact experiment. The experiment results show that overall the stability and accuracy of the proposed method was improved.

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Lee, Jong Jae, Masanobu Shinozuka, and Soo Jin Cho. "Remote Sensing of Bridge Displacement Using Digital Image Processing Techniques." Key Engineering Materials 321-323 (October 2006): 404–9. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.404.

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In this study, an optical method of real-time displacement measurement of such bridges was carried out by means of digital image processing techniques. A commercially available digital video camera combined with a telescopic device takes a motion picture of the target panel with known geometry, which is installed on the measurement location of a bridge. The displacement of the target is calculated based on the captured images in real-time manner using image processing techniques, which require a texture recognition algorithm, projection of the captured image, and calculation of the actual disp

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Puchades-Izaguirre, Yaquelin Puchades-Izaguirre, Mónica Tamayo-Isaac, Wilfre Abiche-Maceo, Reynaldo Rodríguez-Gross, María La O. Hechavarría, and Mérida L. Rodríguez-Regal. "Assessing sugarcane brown rust resistance using Image analysis." Bionatura 6, no. 2 (2021): 1698–703. http://dx.doi.org/10.21931/rb/2021.06.02.6.

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Image analysis provides an accurate and precise method of pest evaluation. This work's objective was to compare the usefulness of the ImageJ® 1.43u image processor and visual estimation as methods to characterize brown rust lesions and estimate the resistance of new sugarcane cultivars. For this, leaves images of 10 cultivars were captured, and the parameters quantity, most regular size of the pustules, and leaf area affected were determined. The data were correlated with the eight control (standard) genotypes' evaluations to obtain a classification of disease resistance. The results showed th

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Reji, A. Amala Arul, and S. Muruganantham. "Building Detection From Satellite Images for Urban Planning Using MATLAB-Based Pattern Matching Method." International Journal of Creative Interfaces and Computer Graphics 10, no. 2 (2019): 17–28. http://dx.doi.org/10.4018/ijcicg.2019070102.

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Remote sensing and satellite image processing has many applications and an emerging field of trending in recent research. Remote sensing methods for extraction of information are used to obtain information related to the Earth's resources and environment for most government-based research applications. Few enhanced hybrid algorithms are reported and in use for real-world applications in recent years by extensive research for digital image processing. The digital images and satellite images are now extensively used for its information, which have many advantages over present analog image proces

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Fuentes, Sigfredo, Anthony R. Palmer, Daniel Taylor, Melanie Zeppel, Rhys Whitley, and Derek Eamus. "An automated procedure for estimating the leaf area index (LAI) of woodland ecosystems using digital imagery, MATLAB programming and its application to an examination of the relationship between remotely sensed and field measurements of LAI." Functional Plant Biology 35, no. 10 (2008): 1070. http://dx.doi.org/10.1071/fp08045.

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Leaf area index (LAI) is one of the most important variables required for modelling growth and water use of forests. Functional–structural plant models use these models to represent physiological processes in 3-D tree representations. Accuracy of these models depends on accurate estimation of LAI at tree and stand scales for validation purposes. A recent method to estimate LAI from digital images (LAID) uses digital image capture and gap fraction analysis (Macfarlane et al. 2007b) of upward-looking digital photographs to capture canopy LAID (cover photography). After implementing this techniqu

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Murray, Chris A., W. Andy Take, and Neil A. Hoult. "Measurement of vertical and longitudinal rail displacements using digital image correlation." Canadian Geotechnical Journal 52, no. 2 (2015): 141–55. http://dx.doi.org/10.1139/cgj-2013-0403.

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Excessive rail displacements can result in reduced rail traffic speeds and increased risk of derailments. A number of methods exist for the measurement of vertical rail displacements, including using geophones, high-speed cameras, and rail vehicle mounted systems. The advantage of rail vehicle mounted methods is that large lengths of track can be assessed. However, there are some instances where the measurement of absolute rail deformations is essential, particularly in poor subgrade conditions where significant long-term settlements are possible. Vehicle-mounted monitoring strategies cannot c

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Lass, Lawrence W., and Robert H. Callihan. "The Effect of Phenological Stage on Detectability of Yellow Hawkweed (Hieracium pratense) and Oxeye Daisy (Chrysanthemum leucanthemum) with Remote Multispectral Digital Imagery." Weed Technology 11, no. 2 (1997): 248–56. http://dx.doi.org/10.1017/s0890037x00042913.

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Many upland pastures and forest meadows in the western United States contain significant infestations of yellow hawkweed and oxeye daisy. Documentation of infestations is necessary in order to plan and assess control tactics. Previous work with an airborne charge coupled device (CCD) with spectral filters indicated that flowering yellow hawkweed with at least 30% cover was detectable at 1 m resolution. A single image of a large area may not capture all plants in the flowering phase and multiple images are costly. The objective of this paper was to assess the accuracy of images recorded at diff

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Sandino, Juan D., Olga L. Ramos-Sandoval, and Darío Amaya-Hurtado. "Method for estimating leaf coverage in strawberry plants using digital image processing." Revista Brasileira de Engenharia Agrícola e Ambiental 20, no. 8 (2016): 716–21. http://dx.doi.org/10.1590/1807-1929/agriambi.v20n8p716-721.

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ABSTRACT In farming the measurement of leaf coverage is considered as an exhaustive task for the researchers due to most of the time they do not have access to the adequate tool for this purpose. A new algorithm, implemented in this investigation, allows to estimate by means of a non-destructive method, the leaf coverage value of strawberry plants (fragaria x ananassa) of the cultivar Albion in the Cajicá region, Colombia, by using digital image processing techniques ( DPI). The DPI based technique includes the smoothing, dilatation, contour detection, threshold and edges detection operations.

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GAATA, Methaq Talib, and Fadya Fouad Hantoosh. "Encrypted Image Retrieval System based on Features Analysis." Al-Mustansiriyah Journal of Science 28, no. 3 (2018): 166. http://dx.doi.org/10.23851/mjs.v28i3.77.

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Abstract – Content-based search provides an important tool for users to consume the ever-growing digital media repositories. However, since communication between digital products takes place in a public network, the necessity of security for digital images becomes vital. Hence, the design of secure content-based image retrieval system is becoming an increasingly demanding task as never before. This paper, presents a mechanism that addresses the secure CBIR as a novel improvement and application for the image retrieval. The proposed system consists of six phases briefly described as follows: fi

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Sharma, Richa, and Madan Lal. "Comparative Analysis of Texture Classification Using Local Binary Pattern and Its Variants." International Journal of Information System Modeling and Design 8, no. 2 (2017): 45–56. http://dx.doi.org/10.4018/ijismd.2017040103.

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Texture classification is an important issue in digital image processing and the Local Binary pattern (LBP) is a very powerful method used for analysing textures. LBP has gained significant popularity in texture analysis world. However, LBP method is very sensitive to noise and unable to capture the macrostructure information of the image. To address its limitation, some variants of LBP have been defined. In this chapter, the texture classification performance of LBP has been compared with the five latest high-performance LBP variants, like Centre symmetric Local Binary Pattern (CS-LBP), Ortho

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Thorsen, Sofie, and Cecilie Astrupgaard. "Bridging the computational and visual turn: Re-tooling visual studies with image recognition and network analysis to study online climate images." Nordic Journal of Media Studies 3, no. 1 (2021): 141–63. http://dx.doi.org/10.2478/njms-2021-0008.

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Abstract In this article, we argue that to capture the liveliness of how visual public debates like the climate controversy unfold online, we must replace snapshot and single-platform approaches with a method that can capture their temporal and cross-platform dynamics. We suggest that such a methodology could be assembled by combining image recognition, visual network analysis, and a quali-quantitative approach within a digital methods framework. We demonstrate the potential application of the methodology in a two-fold case study of 1) how the human–nature relation is visually depicted on Inst

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Dutta, P. K. "Image Segmentation Based Approach for the Purpose of Developing Satellite Image Spatial Information Extraction for Forestation and River Bed Analysis." International Journal of Image and Graphics 19, no. 01 (2019): 1950002. http://dx.doi.org/10.1142/s0219467819500025.

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Classification of remote sensing spatial information from multi spectral satellite imagery can be used to obtain multiple representation of the image and capture different structure lineaments. Pixels are grouped using clustering and morphology based segmentation for region based spatial information. This is used to calculate the spatial features of the contiguous regions by classifying the region into the statistics of the pixel properties. In the proposed work, analysis of Google Earth images for identification of morphological patterns of the river flow is done for remote sensing image usin

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Islam, Mohammad Manzurul, Gour Karmakar, Joarder Kamruzzaman, and Manzur Murshed. "A Robust Forgery Detection Method for Copy–Move and Splicing Attacks in Images." Electronics 9, no. 9 (2020): 1500. http://dx.doi.org/10.3390/electronics9091500.

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Internet of Things (IoT) image sensors, social media, and smartphones generate huge volumes of digital images every day. Easy availability and usability of photo editing tools have made forgery attacks, primarily splicing and copy–move attacks, effortless, causing cybercrimes to be on the rise. While several models have been proposed in the literature for detecting these attacks, the robustness of those models has not been investigated when (i) a low number of tampered images are available for model building or (ii) images from IoT sensors are distorted due to image rotation or scaling caused

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Gong, K., and D. Fritsch. "POINT CLOUD AND DIGITAL SURFACE MODEL GENERATION FROM HIGH RESOLUTION MULTIPLE VIEW STEREO SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 363–70. http://dx.doi.org/10.5194/isprs-archives-xlii-2-363-2018.

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Nowadays, multiple-view stereo satellite imagery has become a valuable data source for digital surface model generation and 3D reconstruction. In 2016, a well-organized multiple view stereo publicly benchmark for commercial satellite imagery has been released by the John Hopkins University Applied Physics Laboratory, USA. This benchmark motivates us to explore the method that can generate accurate digital surface models from a large number of high resolution satellite images. In this paper, we propose a pipeline for processing the benchmark data to digital surface models. As a pre-procedure, w

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Blaser, S., J. Meyer, and S. Nebiker. "OPEN URBAN AND FOREST DATASETS FROM A HIGH-PERFORMANCE MOBILE MAPPING BACKPACK – A CONTRIBUTION FOR ADVANCING THE CREATION OF DIGITAL CITY TWINS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2021 (June 28, 2021): 125–31. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2021-125-2021.

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Abstract. With this contribution, we describe and publish two high-quality street-level datasets, captured with a portable high-performance Mobile Mapping System (MMS). The datasets will be freely available for scientific use. Both datasets, from a city centre and a forest represent area-wide street-level reality captures which can be used e.g. for establishing cloud-based frameworks for infrastructure management as well as for smart city and forestry applications. The quality of these data sets has been thoroughly evaluated and demonstrated. For example, georeferencing accuracies in the centi

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Zhang, Rui. "Elastic Parameters Measurement of Rubber by Digital Image Correlation." Applied Mechanics and Materials 444-445 (October 2013): 1532–35. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1532.

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Application of Digital image correlation method (DIC) to measure the elastic modulus and Poisson ratio of rubber under compression is investigated in this paper. Surface images of the rubber surface subjected to various loading were captured using a CCD camera. DIC is subsequently used to obtain displacement field by correlating the images captured before and after deformation, and then the average compression strain is obtained by fitting the displacement using linear plane. The slope of each set of applied stress versus measured strain data is calculated by least-squares linear regression. T

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