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1

Gaurav, Mahawar, and Kumar Yogi Ayush. "Advancements of Digital Image Processing: Techniques, Applications and Future Trends." Career Point International Journal of Research (CPIJR) 4, no. 2 (2024): 46–54. https://doi.org/10.5281/zenodo.11270844.

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Digital Image Processing (DIP) is a dynamic field pivotal in enhancing digital images and automating image-based tasks. This paper explores DIP principles, technique and application. DIP uses mathematical algorithms and computational tricks or techniques to manipulate digital image, encompassing tasks such as image filtering, feature extraction, image restoration, and object recognition. One big deal in DIP is using deep learning like convolutional neural networks (CNN), which makes computers much better understanding of images.   DIP is used in lots of areas, for example in healthcare, i
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Maria Riasat. "Research on various image processing techniques." Open Access Research Journal of Chemistry and Pharmacy 1, no. 1 (2021): 005–12. http://dx.doi.org/10.53022/oarjcp.2021.1.1.0029.

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Digital image processing deals with the manipulation of digital images through a digital computer. It is a subfield of signals and systems but focuses particularly on images. DIP focuses on developing a computer system that can perform processing on an image. The input of that system is a digital image and the system process that image using efficient algorithms and gives an image as an output. The most common example is Adobe Photoshop. It is one of the widely used applications for processing digital images. The image processing techniques play a vital role in image Acquisition, image pre-pro
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A. Alazawi, Dhia, Zaid S. Hammoudi, and Mohanad N. Mohammed. "Crack Detection and Geometry Measurements using Digital Image Processing." Diyala Journal of Engineering Sciences 14, no. 1 (2021): 11–23. http://dx.doi.org/10.24237/djes.2021.14102.

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Digital image processing (DIP), is the use of a digital computer to process digital images through an algorithm. In this work DIP used to perform crack/defect Detection and geometry measurements in terms of angle, length, and width by building a MATLAB code. In this research, the test of tensile were applied on two flat samples, the two flat samples are painted in a speckle pattern on the tested surface to use DIP features. The DIP gives a low-cost optical, and an appropriate technique to detect crack/defect as well as geometry measurements with the load increment in terms of angle, length and
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Ashraf, Mohd, and Md Zair Hussain. "Using Satellite Image, Recognize and detect the vehicles in Digital Image Processing by applying Otsu Threshold Method." International Journal of Engineering and Advanced Technology 8, no. 6s (2019): 1084–86. http://dx.doi.org/10.35940/ijeat.f1208.0886s19.

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digital image processing (DIP) is known as a process which uses several computer algorithms. Image processing is done on digital images by using these algorithms. Digital image processing is using in several applications, like image-sharpening, medical, pattern reorganization, color processing, remote sensing, video processing etc. The traffic data is affected by satellite images object oriented detection approach and satellite resolution. As compared with the conventional data gathering approach when data is gathering from satellite images then it can be process more quickly and efficiently.
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Joe, G. Saliby. "Design and Implementation of Digital Image Transformation Algorithms." International Journal of Trend in Scientific Research and Development 3, no. 3 (2019): 623–31. https://doi.org/10.31142/ijtsrd22918.

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In computer science, Digital Image Processing or DIP is the use of computer hardware and software to perform image processing and computations on digital images. Generally, digital image processing requires the use of complex algorithms, and hence, can be more sophisticated from a performance perspective at doing simple tasks. Many applications exist for digital image processing, one of which is Digital Image Transformation. Basically, Digital Image Transformation or DIT is an algorithmic and mathematical function that converts one set of digital objects into another set after performing some
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S., Bharathi, J. Vijayalakshmi V., Uthirasamy R., and Madhuleka K. "Pattern Recognition through Dip for Wind Turbine." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 6 (2020): 448–50. https://doi.org/10.35940/ijeat.F1538.089620.

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This paper depicts the realization of DIP (Digital Image Processing) technique for pattern recognition to identify objects in video stream. The proposed model compares the test object with standard model and identifies the missing objects in the test item. The model uses image classifier algorithm as a tool. The simulations are carried out in MATLab Simulink and various test items are compared under different morphological conditions. The model is fabricated to analyze and indicate the omitted components in wind turbine.
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Prof., Ananndraddi N. *. Rahul Marikatti Mallikarjun Umadi Omkar Kulkarni &. Somnath Kamble. "SKIN DISEASE (HERPES, PSORIASIS AND DERMATITIS) IDENTIFICATION USING DIP." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 9, no. 4 (2020): 33–38. https://doi.org/10.5281/zenodo.3778232.

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It is a very huge process to predict a disease based on the visual diagnosis of cell type with accuracy especially when multiple features are associated. If we get the information about the dead skin which is not visible by bare eyes. One of the major problems coming in the medical field is that doctors are not able to detect that infected part which is not visible by bare eyes and therefore they only operate the visible infected part of the skin and this may cause a major problem like hazardous disease in the future. Skin disease classification system is developed and the relationship of the
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Ahmed, Khansa A. "Determination of Irrigated Field Units in North Al-Jazeera Irrigation Project Using Remote Sensing Data." Tikrit Journal of Engineering Sciences 21, no. 2 (2013): 68–74. http://dx.doi.org/10.25130/tjes.21.2.09.

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This paper presents the role of digital image processing (DIP) for the investigation ofeffectively and actually irrigated areas through the signature of vegetative growth; Thetechniques of digital image processing for remotely sensed images including subsetting,enhancement, stacking, and vegetation index calculation determining the real irrigated areas inNorthAl-jazeera irrigation project. Landsat ETM+ (Enhanced Thematic Mapper) images wereobtained, which captured in 7/4/1999, 3/6/2000, 13/6/2001 and 19/4/2002. ERDAS IMAGINE9.1 software was used for the purposes of digital image processing and
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Sarkar, Firoz. "Detecting Fertilizer Adulteration using Smartphone Technology (ST) and Digital Image Processing (DIP): A Study." International Journal of Scientific Engineering and Research 11, no. 7 (2023): 43–48. https://doi.org/10.70729/se23714140643.

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Kim, Donggeun, Younghwan Son, and Jaesung Park. "Prediction of Settling Velocity of Nonspherical Soil Particles Using Digital Image Processing." Advances in Civil Engineering 2018 (December 9, 2018): 1–8. http://dx.doi.org/10.1155/2018/4647675.

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Digital image processing (DIP) is used to measure shape properties and settling velocity of soil particles. Particles with diameters of 1 to 10 mm are arbitrarily sampled for the test. The size of each particle is also measured by a Vernier caliper for comparison with the classification results using the shape classification table. The digital images were taken with a digital camera (Canon EOS 100d). Shape properties are calculated by image analysis software. Settling velocity of soil particles is calculated by displacement and time difference of images during settling. The fastest settling pa
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Li, Ang, Guo-jian Shao, Tian-tang Yu, Jing-bo Su, and Sheng-yong Ding. "Mesoscopic Numerical Simulation of Stratified Rock Failure Using Digital Image Processing." Advances in Mechanical Engineering 6 (January 1, 2014): 106073. http://dx.doi.org/10.1155/2014/106073.

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This paper presents a digital image processing (DIP) based finite difference method (FDM) and makes the first attempt to apply the new method to the failure process of stratified rocks from Chinese Jinping underground carves. In the method, the two-dimensional (2D) inhomogeneity and mesostructures of rock materials are first identified with the DIP technique. And then the binarization image information is used to generate the finite difference grids. Finally, the failure process of stratified rock samples under uniaxial compression condition is simulated by using the FDM. In the DIP, an image
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Aydemir, S., S. Keskin, and L. R. Drees. "Quantification of soil features using digital image processing (DIP) techniques." Geoderma 119, no. 1-2 (2004): 1–8. http://dx.doi.org/10.1016/s0016-7061(03)00218-0.

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Raghavendra, V., N. Vinay kumar, and Manish Kumar. "Latest advancement in image processing techniques." International Journal of Engineering & Technology 7, no. 2.12 (2018): 390. http://dx.doi.org/10.14419/ijet.v7i2.12.11357.

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Image processing is method of performing some operations on an image, for enhancing the image or for getting some information from that image, or for some other applications is nothing but Image Processing [1]. Image processing is one sort of signal processing, where input is an image and output may be an image, characteristics of that image or some features that image [1]. Image will be taken as a two dimensional signal and signal processing techniques will be applied to that two dimensional image. Image processing is one of the growing technologies [1]. In many real time applications image p
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Tariq, Mashal, Ayesha A. Siddiqi, Ghous Baksh Narejo, and Shehla Andleeb. "A Cross Sectional Study of Tumors Using Bio-Medical Imaging Modalities." Current Medical Imaging Formerly Current Medical Imaging Reviews 15, no. 1 (2018): 66–73. http://dx.doi.org/10.2174/1573405613666170614081434.

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Background: Digital Signal Processing (D.S.P) is an evolutionary field. It has a vast variety of applications in all fields. Bio medical engineering has various applications of digital signal processing. Digital Image Processing is one of the branches of signal processing. Medical image modalities proved to be helpful for disease diagnosis. Higher expertise is required in image analysis by medical professional, either doctors or radiologists. Methods: Extensive research is being done and has produced remarkable results. The study is divided into three main parts. The first deals with introduct
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Patil, Jyoti, and Dr A. L. Chaudhari. "Detection of Diabetic Retinopathy Using Sobel edge detection method in DIP." International Journal of Scientific & Engineering Research 3, no. 7 (2012): 1–4. http://dx.doi.org/10.14299/ijser.2012.07.001.

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Diabetic retinopathy, a complication of diabetes that occurs as a result of vascular changes in the retina, It is a major cause of loss of vision. Automated image processing has the potential to assist in the early detection of diabetes, by detecting changes in blood vessel patterns in the retina. Image processing techniques can reduce the work of ophthalmologists and the tools used automatically locate the exudates. 0In this paper the process and knowledge of Digital Image Processing (DIP) is used. Automated analysis techniques for retinal images have been an important area of research for de
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Cosentino, Antonio, Gian Marco Marmoni, Matteo Fiorucci, Paolo Mazzanti, Gabriele Scarascia Mugnozza, and Carlo Esposito. "Optical and Thermal Image Processing for Monitoring Rainfall Triggered Shallow Landslides: Insights from Analogue Laboratory Experiments." Remote Sensing 15, no. 23 (2023): 5577. http://dx.doi.org/10.3390/rs15235577.

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This study explores the innovative use of digital image processing (DIP) techniques, also named PhotoMonitoring, for analysing the triggering conditions of shallow landslides. The approach, based on the combination of optical and infrared thermographic imaging (IRT), was applied to a laboratory-scale slope, reproduced in a flume test apparatus. Three experiments were conducted to replicate rainfall-induced shallow landslides, applying change detection and digital image correlation analysis to both optical and thermal images. The method combines IRT’s ability to measure ground surface temperatu
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Dijkstra, J., J. C. A. M. Pompe, J. Meuleman, and L. Speelman. "The application of digital image processing in grading of begonia pot plants." Netherlands Journal of Agricultural Science 45, no. 1 (1997): 143–61. http://dx.doi.org/10.18174/njas.v45i1.531.

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Digital image processing (DIP) is a potential tool for measuring and classifying pot plants in various growth stages in an automatic, objective and consistent way, with a high capacity and low labour input. In this study, features of begonia cuttings which could be relevant for grading were analysed. Images of unrooted and rooted Begonia elatior [B. hiemalis] cuttings were acquired and analysed with DIP. The various parts of the cuttings were identified and measured using knowledge based image processing. These measurements were shown to be consistent and to be well correlated with the feature
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Wu, Zhonghu, Liping Li, Yili Lou, and Wentao Wang. "Energy Evolution Analysis of Coal Fracture Damage Process Based on Digital Image Processing." Applied Sciences 12, no. 8 (2022): 3944. http://dx.doi.org/10.3390/app12083944.

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Coal rocks often contain calcite, which has a significant effect on the mechanical properties of coal and the energy evolution during rupture damage. In this study, the meso-scale of rock is considered, and the spatial distribution of the internal structure of coal is characterized by digital image technology. Uniaxial compression tests were conducted using RFPA on coal rocks containing calcite veins with diverse dip angles. The research results show that the different azimuth angles of the calcite veins change the internal stress distribution of the coal, resulting in higher coal compressive
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Gopirajan, Punniyakotti Varadharajan, T. Pradeep, and R. Charan. "Enhanced Underwater Image Restoration and Clarity Optimization Using Advanced Digital Image Processing Techniques." EPJ Web of Conferences 328 (2025): 01027. https://doi.org/10.1051/epjconf/202532801027.

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Underwater image enhancement is essential in various tasks such as underwater detection, surveillance, and exploration given that the images these activities produce usually have poor quality because of the influence of some factors (low contrast, noise, and color distortion caused by light absorption and scattering). This paper suggests a new way of Digital Image Processing (DIP) technique that combines Dark Channel Prior (DCP), Gray-World White Balancing (GWWB), and Contrast-Limited Adaptive Histogram Equalization (CLAHE) to realize the functions of dehazing, color correction, and contrast e
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Moon, Ki Hoon, Augusto Cannone Falchetto, and Jin Hoon Jeong. "Microstructural analysis of asphalt mixtures using digital image processing techniques." Canadian Journal of Civil Engineering 41, no. 1 (2014): 74–86. http://dx.doi.org/10.1139/cjce-2013-0250.

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In this paper, the internal microstructure of asphalt mixture is analyzed through digital image processing (DIP) of two-dimensional asphalt mixture images. A set of 12 mixtures prepared with two binders, two air voids percentages, and different recycled asphalt pavement (RAP) contents is used. First, small asphalt mixture beams of the same size of bending beam rheometer specimens are prepared for the images acquisition. Then, based on mixture volumetric properties, a three-phase material model is obtained. Finally, 2- and 3-point correlation functions of the material phases are numerically eva
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Pal, Koushik, Suniket Pradhan, Saynee Paul, et al. "Recent Trends in the field of Biometric Security system using Digital Image Processing." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 809–12. http://dx.doi.org/10.22214/ijraset.2023.48631.

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Abstract: This paper gives an outline in security with the help of DIP(Digital Image Processing). Digital image processing technology is a heavily used technology in various fields like military, biometric, medical fields etc. Scientists try their best to upgrade this technology which helps in the future from any obstacles. In 1960 DIP was first invented at Bell Laboratory. In of case of Fingerprint, it is the evidence which plays the main role to solve criminal problems. Not only a fingerprint, face recognition and iris recognition also takes a main role to solve any criminal problems or it i
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Konara, Bhashitha, Manokararajah Krishnapillai, and Lakshman Galagedara. "Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management." Remote Sensing 16, no. 23 (2024): 4514. https://doi.org/10.3390/rs16234514.

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Crop nitrogen (N) management in agricultural fields is crucial in preventing various environmental and socio-economic issues arising from excess N use. However, precise crop N management (PNM) is hindered by its intensive data requirements, high cost, and time requirements. Digital image processing (DIP) offers a promising approach to overcoming these challenges, and numerous studies have explored its application in N management. This review aims to analyze research trends in applying DIP for N management over the past 5 years, summarize the most recent studies, and identify challenges and opp
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Gao, Hongli, Zhaonian Zhang, Wei Jiang, Kaiyong Zhu, and Ao Gong. "Deformation Fields Measurement of Crack Tip under High-Frequency Resonant Loading Using a Novel Hybrid Image Processing Method." Shock and Vibration 2018 (June 3, 2018): 1–15. http://dx.doi.org/10.1155/2018/1928926.

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A novel hybrid image processing method is proposed to obtain the crack tip location, crack propagation path, displacement, strain fields, and plastic zone size of crack tip region under high-frequency resonant loading in this paper. An ordinary CCD camera is used to collect a series of crack images on one side of the compact tension (CT) specimen; meanwhile, a high-speed digital camera is used to acquire a series of digital speckle images of the other side of the specimen under the loading conditions at regular time intervals. Digital image processing (DIP) method is used to determine the macr
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Umamaheswari, Duraiswamy, and Shanmugam Geetha. "VISUAL QUALITY AND ILLUMINATION ENHANCEMENT USING GAMMA CORRECTED GAUSSIAN FILTERING FRAMEWORK FOR COVID-19 IMAGES." ICTACT Journal on Image and Video Processing 11, no. 1 (2020): 2254–62. https://doi.org/10.21917/ijivp.2020.0322.

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The initiation tasks of Digital image processing (DIP), the image enhancement techniques are used to better represent the image content and make them ready for further analysis. The pre-processed images can be easily handled by the successive steps of DIP such as image sharpening, image restoration, image segmentation, and object recognition. An image is fabricated with the basic picture elements referred to as pixels. Noisy pixels create distortion in the image and that can be suppressed and smoothened using image pre-processing tasks. Bundles of standard preprocessing techniques are there in
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Sousa, Alcineide Dutra Pessoa de, Gean Carlos Lopes de Sousa, and Luiz Maurício Furtado Maués. "Using digital image processing and Unmanned Aerial Vehicle (UAV) for identifying ceramic cladding detachment in building facades." Ambiente Construído 22, no. 2 (2022): 199–213. http://dx.doi.org/10.1590/s1678-86212022000200601.

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Abstract Facade maintenance actions are driven by results obtained in the inspection phase. Some methodological proposals aimedat optimizing the inspection process have been discussed, notablydigital image processing (DIP) techniques associated with unmanned aerial vehicle (UAV) imagery. Using UAV speeds up the access to the inspected area, and DIP techniques help to automate the identification of pathological manifestations. This article aims to apply DIP techniques to detect areas where the ceramic cladding on building facades is detaching. The methodology referred to herein starts with the
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Keefer, Robert, and Nikolaos Bourbakis. "A Survey on Document Image Processing Methods Useful for Assistive Technology for the Blind." International Journal of Image and Graphics 15, no. 01 (2015): 1550005. http://dx.doi.org/10.1142/s0219467815500059.

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This paper offers a review of the state-of-the-art document image processing methods and their classification by identifying new trends for automatic document processing and understanding. Document image processing (DIP) is an important problem related with most of the challenges coming from the image processing field and with applications to digital document summarization, readers for the visually impaired etc. Difficulties in the processing of documents can arise from lighting conditions, page curl, page rotation in 3D, and page layout segmentation. Document image processing is usually perfo
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Mahankali Sreenath and Valikala Giridhar. "Advanced Analysis of Concrete Compressive Strength: Combining NDT Techniques with Digital Image Processing." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 12 (2024): 2669–74. https://doi.org/10.47392/irjaeh.2024.0368.

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Concrete is a fundamental material in civil engineering, widely used for its durability, versatility, and load-bearing capacity in infrastructure and building projects. The compressive strength of concrete is crucial as it directly impacts structural integrity, longevity, and safety. This study investigates the compressive strength of M50 grade concrete through a comprehensive approach that combines non-destructive and destructive testing techniques. Methods employed include the Rebound Hammer (RBH) test, Ultrasonic Pulse Velocity (UPV) test, Digital Image Processing (DIP), and conventional de
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GHONIEMY, Mohamed. "IMPLEMENTATION OF SOME DIGITAL IMAGE PROCESSING ALGORITHMS ON A LABORATORY-DESIGNED DIP." International Conference on Aerospace Sciences and Aviation Technology 2, CONFERENCE (1987): 1–12. http://dx.doi.org/10.21608/asat.1987.26219.

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Manjula, R. Chougala, and A. C. Ramachandra. "Turmeric Rhizome's Colour, Size and Edge based Approach for Identification of Variety." Recent Trends in Computer Graphics and Multimedia Technology 2, no. 3 (2021): 1–7. https://doi.org/10.5281/zenodo.4478328.

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<em>Digital Image Processing (DIP) based identification method helps in reducing the manual inspection and provides the greater accuracy with the fast processing. Turmeric rhizomes identification based on some important morphological features extracted from the images is carried out with image processing methods. Different types of turmeric exhibit diverse physical and morphological properties. This paper presents an approach where the turmeric rhizomes are identified and classified based on its features such as colour, shape and size. Experimental analysis was conducted with few species such
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Li, Yan Li. "Microscopic Analysis of Rutting Formation of Dense Graded Asphalt Concrete." Applied Mechanics and Materials 587-589 (July 2014): 1167–70. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.1167.

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In this paper, digital image processing technology (DIP) is adopted to study the image particle characteristics and mobile trajectory of coarse aggregate. The results show that the DIP particle motion distance accords with the rut test experimental results. The mobile trajectory of coarse aggregates was vertically downward firstly, then to move on both sides at an angle. For dense graded asphalt concrete, the contribution of the asphalt mortar is larger than the coarse aggregates, when resisting vehicular loads.
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Moon, Ki Hoon, and Augusto Cannone Falchetto. "Microstructural investigation of Hot Mix Asphalt (HMA) mixtures using Digital Image Processing (DIP)." KSCE Journal of Civil Engineering 19, no. 6 (2015): 1727–37. http://dx.doi.org/10.1007/s12205-015-0666-8.

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Qusay Abbood, Mohanad. "Computer Reverse Engineering for Reproducing Spur Gears using Digital Image Processing (DIP) Technique." Engineering and Technology Journal 34, no. 5A (2016): 973–82. http://dx.doi.org/10.30684/etj.34.5a.14.

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Chaturvedi, Soumya. "Different Type of Image Compression using Various techniques, Highlighting Segmentation based image Compression." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 171–77. http://dx.doi.org/10.22214/ijraset.2022.40207.

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Abstract: Image compression (IC) plays an important part in Digital Image Processing (DIP), it is as well very very essential for effective transmission and storing of images. Image Compression (IC), is basically recusing the size of an image and that too without adjusting the quality of the picture. It is kind of software with records pressure on digital Image. The objective is to lessen reiteration of the picture info for you to be accomplished of store or transmit information in a proficient shape. This paper gives review of kinds of images and its compression strategies. An image, in its g
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Chien, Yu Sheng, Che Hsin Lin, Fu Jen Kao, and Cheng Wen Ko. "Micro-Flow-Cytometer Integrated witch Optical Tweezer and DIP Technique for Cell/Particle Sorting and Manipulation." Solid State Phenomena 121-123 (March 2007): 1351–54. http://dx.doi.org/10.4028/www.scientific.net/ssp.121-123.1351.

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This paper proposes a novel microfluidic system for cell/microparticle recognition and manipulation utilizing digital image processing technique (DIP) and optical tweezer under microfluidic configuration. Digital image processing technique is used to count and recognize the cell/particle samples and then sends a control signal to generate a laser pulse to manipulate the target cell/particle optically. The optical tweezer system is capable of catching, moving and switching the target cells at the downstream of the microchannel. The trapping force of the optical tweezer is also demonstrated util
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Brito, Lucas Gomes de, Rodrigo Chaves Jorge, Victor Crespo de Oliveira, et al. "Classification Models for Nitrogen Concentration in Hop Leaves Using Digital Image Processing." Applied Sciences 15, no. 9 (2025): 4799. https://doi.org/10.3390/app15094799.

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Hop (Humulus lupulus L.) is a climbing plant that contains essential components for beer production. Although Brazil is the third-largest beer producer in the world, it still relies on imports to meet demand. Some hop varieties have already adapted to the tropical climate, but nitrogen fertilization is essential for the proper development of plants. Digital image processing (DIP) and modeling technologies are emerging as fast and economical alternatives for monitoring the nutritional status of plants. This study evaluated the impact of image quality and the performance of models in classifying
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Meng, Qingxiang, Huanling Wang, Weiya Xu, and Qiang Zhang. "A coupling method incorporating digital image processing and discrete element method for modeling of geomaterials." Engineering Computations 35, no. 1 (2018): 411–31. http://dx.doi.org/10.1108/ec-11-2016-0390.

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Purpose This paper aims to present a digital image processing (DIP)-based discrete element method (DEM) for the analysis of heterogeneous geomaterials. Taking a soil and rock mixture as an example, the direct shear test is used to illustrate the application of this method. The numerical result is validated by the laboratory experiment and implies its feasibility in the analysis of heterogeneous geomaterials. Design/methodology/approach This method has two major steps. Based on a modification of the connected-component labeling algorithm, a novel vectorization method, which can transform the di
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Etomi, Emina E., and Donatus U. Onyishi. "Automated number plate recognition system." Tropical Journal of Science and Technology 2, no. 1 (2021): 38–48. http://dx.doi.org/10.47524/tjst.21.6.

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Automatic Number Plate Recognition (ANPR) system is an automated mass surveillance method that uses several Digital Image Processing (DIP) technique and Optical Character Recognition (OCR) on images to read and identify vehicle registration plates. ANPR has yielded multiple positive results in practical applications such as: access control, traffic law enforcement, inventory and property management, security systems surveillance, parking space allocation, and road traffic surveillance. The automatic number plate recognition system (ANPR) developed in this research work focused mainly on number
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Yang, Lanlan, Weiya Xu, Qingxiang Meng, Wei-Chau Xie, Huanling Wang, and Mengcheng Sun. "Numerical Determination of RVE for Heterogeneous Geomaterials Based on Digital Image Processing Technology." Processes 7, no. 6 (2019): 346. http://dx.doi.org/10.3390/pr7060346.

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Representative volume element (RVE) is an important parameter in numerical tests of mechanical properties of heterogeneous geomaterials. For this study, a digital image processing (DIP) technology was proposed for estimating the RVE of heterogeneous geomaterials. A color image of soil and rock mixture (SRM) with size of 400 × 400 mm2 taken from a large landslide was used to illustrate the determination procedure of the SRM. Six sample sizes ranging from 40 × 40 mm2 to 240 × 240 mm2 were investigated, and twelve random samples were taken from the binarized image for each sample size. A connecte
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Bathula, Maruti Chowdary, and Saisantosh Vamshi Harsha Madiraju. "Application of Digital Image Processing to Determine the Properties of Aggregates and Soil using MATLAB: A Case Study." Journal of Advanced Chemical Sciences 7, no. 1 (2021): 711–16. http://dx.doi.org/10.30799/jacs.234.21070104.

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The vital physical characteristics of aggregates used in engineering and for interpretation of the genesis of naturally occurring sediment are shape and size of rocks. The mineralogical and physical composition of the rock is necessary to cater to the interaction within bounded space and soundings. Several image processing programs are available to measure the size and shape of various types of objects. The accuracy and reproducibility of the results of these imaging methods could be bettered. This paper aims to determine the aggregate dimension and volume to space behaviors through image proc
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Chien, Yu Sheng, Che Hsin Lin, Fu Jen Kao, and Cheng Wen Ko. "A Fully Integrated System for Cell/Particle Sorting in a Microfluidic Device Utilizing an Optical Tweezing and DIP Recognition Approach." Materials Science Forum 505-507 (January 2006): 643–48. http://dx.doi.org/10.4028/www.scientific.net/msf.505-507.643.

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This paper proposes a novel microfluidic system for cell/microparticle recognition and manipulation utilizing a digital image processing technique (DIP) controlled optical tweezer under microfluidic configuration. Cell/microparticle samples are firstly electrokinetically sorted in a microfluidic channel and pass through an image detection region. Digital image processing technique is used to count and recognize the cell/particle samples and then sends control signals to generate laser pulses to manipulate the target cell/particles optically. The optical tweezer system is capable of catching, m
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Park, Junwon, Kyeong-Hwan Kim, Young-Cheol Yoon, and Sang-Ho Lee. "Experiment-Based Synthetic Structural Analysis Combining Digital Image Processing and a Strong Form Meshfree Method." Applied Sciences 10, no. 22 (2020): 8053. http://dx.doi.org/10.3390/app10228053.

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This paper presents an experiment-based synthetic structural analysis method that combines digital image processing (DIP) and the particle difference method (PDM), which is a strong form-based meshfree method. The proposed method uses images to determine the displacement of deformed specimens, interpolates the displacement onto nodes of the PDM model without meshes or grids, and calculates the kinematic variables. Furthermore, the pixel extraction method for the target area and the method of setting the region of interest for expediting DIP were used during the synthetic structural analysis. A
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Zekriti, Najat, Fatima Majid, Hachimi Taoufik, et al. "Improvement of crack tip position estimation in DIC images by image processing methods." Frattura ed Integrità Strutturale 17, no. 63 (2022): 61–71. http://dx.doi.org/10.3221/igf-esis.63.06.

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The study presents and compares an application of two procedures to identify the crack tip location in PVC Sent samples under a uniaxial tensile test based on the image processing method. An IDS camera captures several photos of the PVC surface as part of the image analysis procedure. All relevant data on crack initiation and propagation is collected and assessed using ImageJ software using image processing methods for detecting cracks. However, the second procedure involves a developed algorithm detecting the discontinuity using digital image correlation (DIC) measurement. Although, because o
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Arnold, U., G. Rouvé, M. Schröder, and C. J. Stein. "Multi-channel laser doppler velocimetry (LDV) and digital image processing (DIP) in fluvial hydromechanics." Optics and Lasers in Engineering 16, no. 4-5 (1992): 351–74. http://dx.doi.org/10.1016/0143-8166(92)90097-q.

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Lin, Chia-Hung, Jian-Liung Chen, and Zwe-Lee Gaing. "Combining Biometric Fractal Pattern and Particle Swarm Optimization-Based Classifier for Fingerprint Recognition." Mathematical Problems in Engineering 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/328676.

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This paper proposes combining the biometric fractal pattern and particle swarm optimization (PSO)-based classifier for fingerprint recognition. Fingerprints have arch, loop, whorl, and accidental morphologies, and embed singular points, resulting in the establishment of fingerprint individuality. An automatic fingerprint identification system consists of two stages: digital image processing (DIP) and pattern recognition. DIP is used to convert to binary images, refine out noise, and locate the reference point. For binary images, Katz's algorithm is employed to estimate the fractal dimension (F
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Moreno-Lucio, Mireya, Celina Lizeth Castañeda-Miranda, Gustavo Espinoza-García, et al. "Extraction of Pest Insect Characteristics Present in a Mirasol Pepper (Capsicum annuum L.) Crop by Digital Image Processing." Applied Sciences 11, no. 23 (2021): 11166. http://dx.doi.org/10.3390/app112311166.

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One of the main problems in crops is the presence of pests. Traditionally, sticky yellow traps are used to detect pest insects, and they are then analyzed by a specialist to identify the pest insects present in the crop. To facilitate the identification, classification, and counting of these insects, it is possible to use digital image processing (DIP). This study aims to demonstrate that DIP is useful for extracting invariant characteristics of psyllids (Bactericera cockerelli), thrips (Thrips tabaci), whiteflies (Bemisia tabaci), potato flea beetles (Epitrix cucumeris), pepper weevils (Antho
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Jeong, Hoseong, Baekeun Jeong, Myounghee Han, and Dooyong Cho. "Analysis of Fine Crack Images Using Image Processing Technique and High-Resolution Camera." Applied Sciences 11, no. 20 (2021): 9714. http://dx.doi.org/10.3390/app11209714.

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Visual inspections are performed to investigate cracks in concrete infrastructure. These activities require manpower or equipment such as articulated ladders. Additionally, there are health and safety issues because some structures have low accessibility. To deal with these problems, crack measurement with digital images and digital image processing (DIP) techniques have been adopted in various studies. The objective of this experimental study is to evaluate the optical limit of digital camera lenses as working distance increases. Three different lenses and two digital cameras were used to cap
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CARVALHO, AIRTON MARQUES DE, LUIZ DIEGO VIDAL SANTOS, FRANCISCO SANDRO RODRIGUES HOLANDA, ALCEU PEDROTTI, and GUILHERME MATOS ANTONIO. "DIGITAL IMAGE PROCESSING FOR EVALUATION OF PASPALUM MILLEGRANA SCHRAD ROOT SYSTEM1." Revista Caatinga 33, no. 1 (2020): 100–107. http://dx.doi.org/10.1590/1983-21252020v33n111rc.

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ABSTRACT The characterization of the plant root system is of great importance for the understanding of its contribution to soil shear resistance, constituting an important tool for decision making in soil bioengineering works. The objective of this work was to evaluate the growth and distribution characteristics of the root system of Paspalum millegrana Schrad. grass in Entisol using Digital Imaging Processing (DIP). The data were obtained by opening a soil pit to expose the root system of Paspalum grass up to 1.70 m depth. The profile wall and volumetric ring methods were used to collect quan
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Wu, Ganggang, Xingming Xiao, Chi Ma, and Yuqiang Jiang. "Vision-based transverse vibration displacement measurement of hoisting vertical ropes in mine hoists." Advances in Mechanical Engineering 13, no. 7 (2021): 168781402110330. http://dx.doi.org/10.1177/16878140211033088.

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At present, there is no appropriate way to measure the transverse vibration response of moving hoisting vertical rope in hoist. Therefore, a vision-based measurement method combining the digital image correlation (DIC) and digital image processing (DIP) algorithms is proposed in this paper. In this method, a reference line perpendicular to the vertical ropes is added in image sequence by DIP algorithm to form some virtual cross targets, which makes the improved DIC algorithm with adaptive template updating (ATU) rule can track the moving hoisting vertical rope without any labels. Then for dist
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Molladavoodi, H., and Y. RahimiRezaei. "Heterogeneous Rock Simulation Using DIP-Micromechanics-Statistical Methods." Advances in Civil Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/7010817.

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Rock as a natural material is heterogeneous. Rock material consists of minerals, crystals, cement, grains, and microcracks. Each component of rock has a different mechanical behavior under applied loading condition. Therefore, rock component distribution has an important effect on rock mechanical behavior, especially in the postpeak region. In this paper, the rock sample was studied by digital image processing (DIP), micromechanics, and statistical methods. Using image processing, volume fractions of the rock minerals composing the rock sample were evaluated precisely. The mechanical propertie
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Sharlandjiev, Peter, Dimana Nazarova, and Nataliya Berberova. "Digital Image Denoising by Adaptive Median Filtering and Wavelet Transform." Digital Presentation and Preservation of Cultural and Scientific Heritage 4 (September 30, 2014): 213–17. http://dx.doi.org/10.55630/dipp.2014.4.25.

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Digital image processing is an important area of preservation and representation of cultural and historical objects. Part of it is the task of cleaning images corrupted by noise. Many different methods and approaches have been successfully implemented, but still filtering and denoising techniques are developing and improving intensively. Herein, we report numeric simulations of 2D image filtering. Effects of impulse noise are very efficiently reduced by adaptive median filtering. The situation of additive noise, which itself depends on the intensity of the original image, is more complicated.
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