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Journal articles on the topic 'Image processin'

Author: Grafiati

Published: 19 April 2025

Last updated: 25 July 2025

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1

Jung, Sun Ho. "Study on CCTV based Sensor applied SURF Image Processin System." KOREA SCIENCE & ART FORUM 16 (June 30, 2014): 403. http://dx.doi.org/10.17548/ksaf.2014.06.16.403.

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Barrera-Fernández, Daniel, and Kevin Meethan. "The Relationship of City Branding and Tourist Promotion: The Case of Plymouth (UK) and Malaga (Spain)." Athens Journal of Tourism 1, no. 3 (2014): 217–25. https://doi.org/10.5281/zenodo.13735705.

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In the global market cities compete in the brand image they create,this message has to be convincing and precise. In order to build -images just a few urban features are chosen, which can be materialsuch as built heritage, infrastructure or iconic architecture.However, non-material aspects like historic references, an attractiveway of life and cultural values are becoming crucial when trying tolink local economic strategies and tourist promotion, particularlywhen specializing in urban tourism segments such as history andculture, meetings, incentives, conferences and events. To create thissymbo

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Bhuvaneswari, M. "Gaussian mixture model: An application to parameter estimation and medical image classification." Journal of Scientific and Innovative Research 5, no. 3 (2016): 100–105. http://dx.doi.org/10.31254/jsir.2016.5308.

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Gaussian mixture model based parameter estimation and classification has recently received great attention in modelling and processin g data. Gaussian Mixture Model (GMM) is the probabilistic model for representing the presence of subpopulations and it works well with the classification and parameter estimation strategy. Here in this work Maximum Likelihood Estimation (MLE) based on Expectation Maximization (EM) is being used for the parameter estimation approach and the estimated parameters are being used for the training and the testing of the images for their normality and the abnormality.

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Nivetha., I., and M. Padmaa Dr. "Disease Detection in Tree Leaves and Fruits using Image Processing Techniques." Journal of Radio and Television Broadcast 3, no. 3 (2018): 24–28. https://doi.org/10.5281/zenodo.2293551.

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<em>India is the agriculture based country. Now a day, agricultural product yield is decrease for the reason of disease affect the plants like fungus, virus diseases. In this paper, we detect the tree leaves and fruits disease using image processing techniques. In this paper apple, grapes and pomegranate disease are detected. The apple diseases are apple scab, apple rot, Marssonina leaf blotch, black rot canker, apple mosaic. The grape diseases are black rot, powdery mildew, downy mildew, anthracnose, bacterial leaf spot, and rust. The pomegranate diseases are bacterial blight, aspergillus fru

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Legland, David, and Marie-Françoise Devaux. "ImageM: a user-friendly interface for the processing of multi-dimensional images with Matlab." F1000Research 10 (April 30, 2021): 333. http://dx.doi.org/10.12688/f1000research.51732.1.

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Modern imaging devices provide a wealth of data often organized as images with many dimensions, such as 2D/3D, time and channel. Matlab is an efficient software solution for image processing, but it lacks many features facilitating the interactive interpretation of image data, such as a user-friendly image visualization, or the management of image meta-data (e.g. spatial calibration), thus limiting its application to bio-image analysis. The ImageM application proposes an integrated user interface that facilitates the processing and the analysis of multi-dimensional images within the Matlab env

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Pariyar, Kopila. "Process of Detecting Barcodes Using Image Processing." International Journal of Scientific Engineering and Research 2, no. 7 (2014): 18–19. https://doi.org/10.70729/j2013326.

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Oguma, Ryuichiro, Syo Matsumura, and Tetsuo Eguchi. "Mesoscopic TDGL Model for Formation of Domain Structures in D0₁₉ Type Ordering." Solid State Phenomena 172-174 (June 2011): 602–7. http://dx.doi.org/10.4028/www.scientific.net/ssp.172-174.602.

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The present authors recently presented the time-dependent Ginzburg-Landau (TDGL) formulation for L12 type ordering processin binary alloys, taking into account the symmetrical relationships of these ordered phases. Extending the formulation, the authors have developed the TDGL model for microstructural evolution of D019 type ordering. The D019 structure based on hcp is divided into four equivalent sublattices. The site occupation probabilities are given as a function of three order parameters and a composition parameter. Multiple types of variants of the structures are represented by the order

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Mohamed Y Abdallah, Yousif, Mohamed MO Yousef, and Eltayeb W Eltayeb. "Automated Enhancement of Myocardium Images using Image Processing Methods." International Journal of Science and Research (IJSR) 10, no. 7 (2021): 557–64. https://doi.org/10.21275/sr21709185141.

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Alessandro, Massaro, Vitti Valeria, and Galiano Angelo. "Automatic Image Processing Engine Oriented on Quality Control of Electronic Boards." Signal & Image Processing : An International Journal (SIPIJ) 9, no. 2 (2019): 1–14. https://doi.org/10.5281/zenodo.3243307.

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ABSTRACT We propose in this work a study of an image processing engine able to detect automatically the features of electronic board weldings. The engine has been developed by using ImageJ and OpenCV libraries. Specifically the image processing segmentation has been improved by watershed approach. After a complete design of the automation processes, different test have been performed showing the engine efficiency in terms of features extraction, scale setting and thresholding calibration. The engine provides as outputs the storage of the cropped images of each single defects. The proposed engi

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Shete, S. G., and Nagnath G. Ghadge. "Image Processing in MATLAB 9.3." International Journal of Trend in Scientific Research and Development 2, no. 2 (2018): 925–29. https://doi.org/10.31142/ijtsrd9545.

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In this paper we introduce how to handle different kinds of image formats in MATLAB 9.3 by using Matlab Workspace and its Various Commands. Also we illustrated example of processing the images. Shete S. G. | Ghadge Nagnath G. "Image Processing in MATLAB 9.3" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: https://www.ijtsrd.com/papers/ijtsrd9545.pdf

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Patel, Bindiya, Dr Pankaj Kumar Mishra, and Prof Amit Kolhe. "Lung Cancer Detection on CT Images by using Image Processing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 2525–31. http://dx.doi.org/10.31142/ijtsrd11674.

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x, Priyanka. "Review Paper on Identifying Fake Images by Digital Image Processing." International Journal of Scientific Engineering and Research 5, no. 5 (2017): 169–71. https://doi.org/10.70729/ijser151486.

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Tetard, Martin, Ross Marchant, Giuseppe Cortese, Yves Gally, Thibault de Garidel-Thoron, and Luc Beaufort. "Technical note: A new automated radiolarian image acquisition, stacking, processing, segmentation and identification workflow." Climate of the Past 16, no. 6 (2020): 2415–29. http://dx.doi.org/10.5194/cp-16-2415-2020.

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Abstract. Identification of microfossils is usually done by expert taxonomists and requires time and a significant amount of systematic knowledge developed over many years. These studies require manual identification of numerous specimens in many samples under a microscope, which is very tedious and time-consuming. Furthermore, identification may differ between operators, biasing reproducibility. Recent technological advances in image acquisition, processing and recognition now enable automated procedures for this process, from microscope image acquisition to taxonomic identification. A new wo

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Arti Verma. "Digital Image Processing of SEM image of Polymer Nanocomposite Thin Film Using Java Based Program Image J." Power System Technology 43, no. 2 (2019): 44–46. https://doi.org/10.52783/pst.1135.

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Various images obtain from TEM; SEM can be analyzed with the help of computer image analysis software. Image processing is used to describe the size, shape, surface topography of micro or nano structure materials. In the present paper the characterization analysis is being reported qualitatively by using digital image processing of SEM/TEM image of some nanomaterials. This novel technique is an effective experimental tool for the detailed structural characterization. For image processing Java based software ImageJ is used in the present study.

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Goto, Mitsunori. "8. Image Processing Using ImageJ." Japanese Journal of Radiological Technology 75, no. 7 (2019): 688–92. http://dx.doi.org/10.6009/jjrt.2019_jsrt_75.7.688.

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Dhiman Surender Kumar, Babita. "Analysis of Echocardiography Images Using Applications of Image Processing Techniques: A Review." International Journal of Scientific Engineering and Research 2, no. 5 (2014): 34–38. https://doi.org/10.70729/j20132921.

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Strauss, Lourens Jochemus, and William ID Rae. "Image quality dependence on image processing software in computed radiography." South African Journal of Radiology 16, no. 2 (2012): 44–48. http://dx.doi.org/10.4102/sajr.v16i2.305.

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Background. Image post-processing gives computed radiography (CR) a considerable advantage over film-screen systems. After digitisation of information from CR plates, data are routinely processed using manufacturer-specific software. Agfa CR readers use MUSICA software, and an upgrade with significantly different image appearance was recently released: MUSICA2. Aim. This study quantitatively compares the image quality of images acquired without post-processing (flatfield) with images processed using these two software packages. Methods. Four aspects of image quality were evaluated.

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Peng, Er Bao, and Guo Tong Zhang. "Image Processing Technology Research of On-Line Thread Processing." Advanced Materials Research 908 (March 2014): 555–58. http://dx.doi.org/10.4028/www.scientific.net/amr.908.555.

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The paper introduced image processing technology based on image segmentation about on-line threads images, and describes in detail image processing technology from image preprocessing, image gmentation,and threaded parameter test. Threaded images of on-line processing parts obtained are introduced as the key technology, Target edge extraction process from the segmented image are also recounted. At last, this article shows a comparison between actual machining parameters of screw thread and the standard parameter , provides the criterion for error compensation.

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P, Sai Gyaneshwar Chary, Rahul Pasha Shaik, Sandeep Sirra, and Vishwa Shanthi M. "TEXT TO IMAGE GENERATION IN PYTHON USING IMAGEN MODEL AND STREAMLIT." TEXT TO IMAGE GENERATION IN PYTHON USING IMAGEN MODEL AND STREAMLIT 2 2, M. Vishwa Shanthi (2023): 54. https://doi.org/10.5281/zenodo.7868137.

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Text-to-image generation is a fascinating application of computer vision and natural language processing, where the goal is to generate realistic and diverse images based on textual descriptions. In this project, we propose a text-to-image generation system using Python programming language and two main libraries, Imagen and Streamlit. The system consists of a generative adversarial network (GAN) model trained on a large dataset of images and their corresponding captions, and a text processing and generation module. 

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Li, Xinrui, Yau Tsz Chan, and Yangzi Jiang. "Development of an image processing software for quantification of histological calcification staining images." PLOS ONE 18, no. 10 (2023): e0286626. http://dx.doi.org/10.1371/journal.pone.0286626.

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Quantification of the histological staining images gives important insights in biomedical research. In wet lab, it is common to have some stains off the target to become unwanted noisy stains during the generation of histological staining images. The current tools designed for quantification of histological staining images do not consider such situations; instead, the stained region is identified based on assumptions that the background is pure and clean. The goal of this study is to develop a light software named Staining Quantification (SQ) tool which could handle the image quantification jo

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Rahayu, Andriyati, Asril pramutadi Andi mustari, and Baliana Amir. "Analisis Image Processing pada Prasasti Teroksidasi Ayam Téas I." PURBAWIDYA: Jurnal Penelitian dan Pengembangan Arkeologi 12, no. 2 (2023): 206–15. http://dx.doi.org/10.55981/purbawidya.2023.741.

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The Ayam Téas I inscription is one of the ancient inscriptions in Indonesia. Currently, the condition of the inscription has undergone natural degradation, causing the letters and the written message to become more difficult to read. Among the natural forms of degradation are corrosion and erosion. One method that can be used to address this problem is by utilizing image processing technology in the form of imageJ software. The analysis process involves capturing images using a camera and then processing the images using imageJ software. This software provides a mode that can remove unnecessar

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Duan Jiazhen, 段家振, 史如新 Shi Ruxin, 张伟 Zhang Wei, 王庆 Wang Qing та 任显铭 Ren Xianming. "基于图像处理的碳钢表面激光除锈工艺研究". Chinese Journal of Lasers 51, № 20 (2024): 2002208. http://dx.doi.org/10.3788/cjl231563.

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Deshpande, Aadit, Sundaresan Raman, Amber Dubey, Pradeep Susvar, and Rajiv Raman. "An ImageJ macro tool for OCTA-based quantitative analysis of Myopic Choroidal neovascularization." PLOS ONE 18, no. 4 (2023): e0283929. http://dx.doi.org/10.1371/journal.pone.0283929.

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Myopic Choroidal neovascularization (mCNV) is one of the most common vision-threatening com- plications of pathological myopia among many retinal diseases. Optical Coherence Tomography Angiography (OCTA) is an emerging newer non-invasive imaging technique and is recently being included in the investigation and treatment of mCNV. However, there exists no standard tool for time-efficient and dependable analysis of OCTA images of mCNV. In this study, we propose a customizable ImageJ macro that automates the OCTA image processing and lets users measure nine mCNV biomarkers. We developed a three-st

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Kimori, Yoshitaka. "RMPJ: An ImageJ plugin for morphological information processing in biomedical images." PLOS Computational Biology 21, no. 4 (2025): e1012992. https://doi.org/10.1371/journal.pcbi.1012992.

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RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphological processing (RMP), a variation of traditional morphological operations. RMPJ enables the enhancement and extraction of intricate and nuanced features in biomedical images. Furthermore, it facilitates the separation and extraction of multiple aggregated structures. This software aims to expand the

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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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Yi, Wang, Zhang Jing, and Gao Shuang. "Hue–saturation–intensity and texture feature-based cloud detection algorithm for unmanned aerial vehicle images." International Journal of Advanced Robotic Systems 17, no. 3 (2020): 172988142090353. http://dx.doi.org/10.1177/1729881420903532.

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There are a large number of cloud-covered areas in most unmanned aerial vehicle images and lead to the loss of information in the image and affect image post procession such as image fusion and target identification. Finding the cloud-occluded area in an image is a key step in image processing. Based on the differences of color and texture characteristics between cloud and ground, a cloud detection algorithm for the unmanned aerial vehicle images is proposed. Simulation results show that the proposed algorithm is better than the classical cloud detection algorithms in accuracy rate, false-posi

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Laing, Ronald A. "Image Processing of Corneal Endothelial Images." Cornea 6, no. 1 (1987): 65. http://dx.doi.org/10.1097/00003226-198706010-00053.

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Naz, Najia, Abdul Haseeb Malik, Abu Bakar Khurshid, et al. "Efficient Processing of Image Processing Applications on CPU/GPU." Mathematical Problems in Engineering 2020 (October 10, 2020): 1–14. http://dx.doi.org/10.1155/2020/4839876.

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Heterogeneous systems have gained popularity due to the rapid growth in data and the need for processing this big data to extract useful information. In recent years, many healthcare applications have been developed which use machine learning algorithms to perform tasks such as image classification, object detection, image segmentation, and instance segmentation. The increasing amount of big visual data requires images to be processed efficiently. It is common that we use heterogeneous systems for such type of applications, as processing a huge number of images on a single PC may take months o

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Лун, Сюй, Xu Long, Йан Йихуа, Yan Yihua, Чэн Цзюнь, and Cheng Jun. "Guided filtering for solar image/video processing." Solar-Terrestrial Physics 3, no. 2 (2017): 9–15. http://dx.doi.org/10.12737/stp-3220172.

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A new image enhancement algorithm employing guided filtering is proposed in this work for enhancement of solar images and videos, so that users can easily figure out important fine structures imbedded in the recorded images/movies for solar observation. The proposed algorithm can efficiently remove image noises, including Gaussian and impulse noises. Meanwhile, it can further highlight fibrous structures on/beyond the solar disk. These fibrous structures can clearly demonstrate the progress of solar flare, prominence coronal mass emission, magnetic field, and so on. The experimental results pr

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Rahimi, Masoud, Esmaeil Asadi Khameneh, Hamid Riazi-Esfahani, Tahereh Mahmoudi, Elias Khalili Pour, and Rahele Kafieh. "Application of ImageJ in Optical Coherence Tomography Angiography (OCT-A): A Literature Review." Journal of Ophthalmology 2023 (November 22, 2023): 1–11. http://dx.doi.org/10.1155/2023/9479183.

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Background. This study aimed to review the literature on the application of ImageJ in optical coherence tomography angiography (OCT-A) images. Methods. A general search was performed in PubMed, Google Scholar, and Scopus databases. The authors evaluated each of the selected articles in order to assess the implementation of ImageJ in OCT-A images. Results. ImageJ can aid in reducing artifacts, enhancing image quality to increase the accuracy of the process and analysis, processing and analyzing images, generating comparable parameters such as the parameters that assess perfusion of the layers (

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Chou, Szu-Yuan, Cindy Chan, Yu-Chieh Lee, Tzu-Ning Yu, Chii-Ruey Tzeng, and Chi-Huang Chen. "Evaluation of adenomyosis after gonadotrophin-releasing hormone agonist therapy using ultrasound post-processing imaging: a pilot study." Journal of International Medical Research 48, no. 6 (2020): 030006052092005. http://dx.doi.org/10.1177/0300060520920056.

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Objective We explored a method for the quantitative sonographic analysis of myometrial texture using computer-aided image analysis software to assess outcomes following treatment with gonadotrophin-releasing hormone (GnRH) agonist for adenomyosis in women with infertility. Method Data for patients with ultrasound images of the myometrium obtained at Taipei Medical University Hospital from 1 September 2018 to 5 April 5 2019 were analyzed. Only 10 patients with 20 ultrasound images matched the eligibility criteria. The images were divided into pre-treatment (n = 10) and post-treatment images (n

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Abdelkader, Mohamed. "MATLAB Algorithms for Diameter Measurements of Textile Yarns and Fibers through Image Processing Techniques." Materials 15, no. 4 (2022): 1299. http://dx.doi.org/10.3390/ma15041299.

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Textile yarns are the fundamental building blocks in the fabric industry. The measurement of the diameter of the yarn textile and fibers is crucial in textile engineering as the diameter size and distribution can affect the yarn’s properties, and image processing can provide automatic techniques for faster and more accurate determination of the diameters. In this paper, facile and new methods to measure the yarn’s diameter and its individual fibers diameter based on image processing algorithms that can be applied to microscopic digital images. Image preprocessing such as binarization and morph

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Robbins, Stuart J., E. Beau Bierhaus, Olivier Barnouin, et al. "Imaging Lunar Craters with the Lucy Long Range Reconnaissance Imager (L’LORRI): A Resolution Test for NASA's Lucy Mission." Planetary Science Journal 4, no. 12 (2023): 234. http://dx.doi.org/10.3847/psj/ad01b4.

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Abstract NASA's Lucy mission is designed to better understand the unique population of Trojan asteroids. Trojans were probably captured in Jupiter's L4 and L5 points early in the solar system's evolution and little altered since then. A critical investigation of Lucy is to use its highest-resolution camera, the Lucy Long Range Reconnaissance Imager (L’LORRI), to image Trojans’ surfaces to understand their geology and impact crater populations. Through crater statistics, the population of smaller bodies that produced those impacts, relative age differences across the bodies, and other comparati

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Dr., Vimalkumar P., and C.Balasubramanian Dr. "Cutaneous Melanoma Skin Cancer Analysis Using Threshold Image Segmentation Techniques." International Journal of Scientific Development and Research 9, no. 2 (2024): 203–10. https://doi.org/10.5281/zenodo.12665026.

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Medical image processing is one of the most difficult subfields in the dynamic field of image processing research. The internal parts of the human body are imaged using medical imaging techniques in order to aid in diagnosis. Uncontrolled proliferation of abnormal skin cells is known as skin cancer, one of the most serious skin illnesses. Sunshine's UV radiation is the cause of it. The most dangerous kind of skin cancer is cutaneous melanoma. The suggested method uses image processing techniques to diagnose Cutaneous Melanoma Skin Cancer. The analysis of digital lesion images has been conducte

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Liu Jiansi, 刘建思, 尹丽菊 Yin Liju, 潘金凤 Pan Jinfeng, 崔玉敏 Cui Yumin та 汤祥裕 Tang Xiangyu. "基于参数化对数图像处理模型的光照不均匀图像的边缘检测算法". Laser & Optoelectronics Progress 58, № 22 (2021): 2210005. http://dx.doi.org/10.3788/lop202158.2210005.

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Priyadharsini, M. Suriya, and J. G. R. Sathiaseelan. "The New Robust Adaptive Median Filter for Denoising Cancer Images Using Image Processing Techniques." Indian Journal Of Science And Technology 16, no. 35 (2023): 2813–21. http://dx.doi.org/10.17485/ijst/v16i35.1024.

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Nandan, Anamika, and Dr Satya Ranjan Pattanaik. "Brain Tumor Detection using Image Processing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem36565.

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It is very difficult for doctors to detect a brain tumor at an early stage. MRI images are more susceptible to noise and other environmental disturbances. Therefore, it becomes difficult for doctors to determine the tumor and its causes. So, we came up with a system in which the system will detect a brain tumor from images. Here we are converting an image to a grayscale image. We apply filters to the image to remove noise and other environmental clutter from the image. The system will process the selected image using preprocessing steps. At the same time, different algorithms are used to detec

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Destyningtias, Budiani, Andi Kurniawan Nugroho, and Sri Heranurweni. "Analisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ." eLEKTRIKA 10, no. 1 (2019): 15. http://dx.doi.org/10.26623/elektrika.v10i1.1105.

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<p>This study aims to develop medical image processing technology, especially medical images of CT scans of stroke patients. Doctors in determining the severity of stroke patients usually use medical images of CT scans and have difficulty interpreting the extent of bleeding. Solutions are used with contrast stretching which will distinguish cell tissue, skull bone and type of bleeding. This study uses contrast stretching from the results of CT Scan images produced by first turning the DICOM Image into a JPEG image using the help of the ImageJ program. The results showed that the histogra

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Pereyra Irujo, Gustavo. "IRimage: open source software for processing images from infrared thermal cameras." PeerJ Computer Science 8 (May 10, 2022): e977. http://dx.doi.org/10.7717/peerj-cs.977.

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IRimage aims at increasing throughput, accuracy and reproducibility of results obtained from thermal images, especially those produced with affordable, consumer-oriented cameras. IRimage processes thermal images, extracting raw data and calculating temperature values with an open and fully documented algorithm, making this data available for further processing using image analysis software. It also allows the making of reproducible measurements of the temperature of objects in a series of images, and produce visual outputs (images and videos) suitable for scientific reporting. IRimage is imple

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Margaj, Sampada. "Image Pre-Processing of USG Images by Adjusting Varying Luminance Trend and Applying Morphological Operations on Segmented Image using Thresholding." International Journal of Science and Research (IJSR) 12, no. 2 (2023): 1080–84. http://dx.doi.org/10.21275/sr23219135729.

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Utkarsh, Gupta, Kumar Sudhanshu, Singhal Devansh, Tomar Parth, and Kumar Ajay. "IMAGE PROCESSING SYSTEM USING JAVA." International Journal of Innovative Research in Information Security VII, no. IV (2020): 36–40. https://doi.org/10.26562/ijiris.2020.v0704.002.

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The article is all about the Image Processing System that can be defined as, processing and altering an existing image in the desired manner. Image is one of the perceptible sources in applications of Image Processing including a large number of tools and techniques which help to extract complex features of an image. Probably the most powerful image processing system is the human brain together with the eye. The system receives, enhances, and stores images at enormous rates of speed. The objective of Image Processing is to visually enhance or statistically evaluate some aspect of an image not

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Abdulhamid, Mohanad, and Lwanga Wanjira. "Image Processing Techniques Based Crowd Size Estimation." Radioelectronics. Nanosystems. Information Technologies 12, no. 3 (2020): 407–14. http://dx.doi.org/10.17725/rensit.2020.12.407.

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Image processing algorithms are the basis for image computer analysis and machine Vision. Employing a theoretical foundation, image algebra, and powerful development tools, Visual C++, Visual Fortran, Visual Basic, and Visual Java, high-level and efficient computer vision techniques have been developed. This paper analyzes different image processing algorithms by classifying them in logical groups. In addition, specific methods are presented illustrating the application of such techniques to the real world images. In most cases more than one method is used. This allows a basis for comparison o

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Saxena, Khushboo, and Yogesh Kumar Gupta. "Analysis of Image Processing Strategies Dedicated to Underwater Scenarios." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3s (2023): 253–58. http://dx.doi.org/10.17762/ijritcc.v11i3s.6232.

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Underwater images undergo quality degradation issues of an image, like blur image, poor contrast, non-uniform illumination etc. Therefore, to process these degraded images, image processing come into existence. In this paper, two important image processing methods namely Image restoration and Image enhancement are compared. This paper also discusses the quality measures parameters of image processing which will be helpful to see clear images.

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SINHA, G. R. "Image Processing Tools for Improved Visualization and Analysis of Remotely Sensed Images for Agriculture and Forest Classifications." Agriculture and Forestry Journal 1, no. 1 (2017): 27–32. https://doi.org/10.5281/zenodo.810059.

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This paper suggests Image Processing tools for improved visualization and better analysis of remotely sensed images. There are methods already available in literature for the purpose but the most important challenge among the limitations is lack of robustness. We propose an optimal method for image enhancement of the images using fuzzy based approaches and few optimization tools. The segmentation images subsequently obtained after de-noising will be classified into distinct information and the appropriate conclusions would be drawn with regard to forest, agriculture, environmental effect, and

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Kornus, W., A. Magariños, M. Pla, E. Soler, and F. Perez. "PHOTOGRAMMETRIC PROCESSING USING ZY-3 SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W2 (March 10, 2015): 109–13. http://dx.doi.org/10.5194/isprsarchives-xl-3-w2-109-2015.

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This paper evaluates the stereoscopic capacities of the Chinese sensor ZiYuan-3 (ZY-3) for the generation of photogrammetric products. The satellite was launched on January 9, 2012 and carries three high-resolution panchromatic cameras viewing in forward (22º), nadir (0º) and backward direction (-22º) and an infrared multi-spectral scanner (IRMSS), which is slightly looking forward (6º). The ground sampling distance (GSD) is 2.1m for the nadir image, 3.5m for the two oblique stereo images and 5.8m for the multispectral image. The evaluated ZY-3 imagery consists of a full set of threefold-stere

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Bahodir, B. Tuychibaev. "THE ROLE OF DIGITAL TECHNOLOGIES IN PETROGLYPH DOCUMENTATION." Look to the past 1, SI 2 (2022): 5. https://doi.org/10.5281/zenodo.7219787.

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Due to the fact that rock paintings are located in open areas, due to natural and anthropogenic factors, the problem of their preservation is considered an important and urgent task. The article examines the issues of preservation and documentation of rock paintings, especially in recording petroglyphs, using a method that does not damage their outer surface, i.e. does not affect it by hand. The most effective method of recording color images is the pigment card method, that is, the image obtained by graphic processing of the photo image is considered. The possibilities of graphic processing o

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Louk, Andreas Christian, Gede Bayu Suparta, and Nurul Hidayah. "Image Processing for Multiple Micro-Radiography Images." Advanced Materials Research 896 (February 2014): 676–80. http://dx.doi.org/10.4028/www.scientific.net/amr.896.676.

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An image processing method has been developed for processing multiple images of x-ray micro-radiography. An x-ray micro-radiography image reflects quantum mottle so that its information content may tends to be corrupted. Therefore, a digital processing method has been developed to reduce the effect of quantum mottle as well as reducing the noise level. A set of radiographs are collected then summed. An image subtraction by a background image is carried out prior to the summation process. The signal to noise ratio (SNR) and contrast to noise ratio (CNR) after processing are compared with the SN

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Bento, Tiago, Duarte Val´erio, Pedro Teodoro, and Jorge Martins. "Fractional Order Image Processing of Medical Images." Journal of Applied Nonlinear Dynamics 6, no. 2 (2017): 181–91. http://dx.doi.org/10.5890/jand.2017.06.005.

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Tehuacanero, S., A. Lopéz, and J. Reyes-Gasga. "Image Processing of HRTEM images of Hydroxyapatite." Microscopy and Microanalysis 9, S02 (2003): 1304–5. http://dx.doi.org/10.1017/s1431927603446527.

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Uchida, Seiichi. "Image processing and recognition for biological images." Development, Growth & Differentiation 55, no. 4 (2013): 523–49. http://dx.doi.org/10.1111/dgd.12054.

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