Search Results - image processing methods

Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

“…The D-LKA mechanism is introduced into the C3k2 structure, and the large convolution kernel is used to process complex image information to enhance the model’s ability to characterize different scales and irregular tumors. …”
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Carpet Back Sizing Quality Assessment by Measuring the Amount of Resin Using Image Processing and Machine Learning Approaches by Mohammad Ehsan Momeni Heravi, Mohammad Hossein Moattar

“…Proposed in this paper is an automatic method based on the evaluation of the bending stiffness of the sized carpet that uses digital image processing and machine learning to measure the optimal amount of size concentration and control this index. …”
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Detection and Identification of Dental Caries Using Segmentation Techniques by Noor A. Ibraheem

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Review of Artifacts and Related Processing in Ophthalmic Optical Coherence Tomography Angiography (OCTA) by Zhefan Lin, Yitao Hu, Gongpu Lan, Jingjiang Xu, Jia Qin, Lin An, Yanping Huang

“…Corresponding methods for the identification and processing of these artifacts are also presented. …”
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DEVELOPMENT OF A VIDEO PROCESSING MODULE FOR THE TASK OF AIR OBJECT RECOGNITION BASED ON THEIR CONTOURS by Valentyn Yesilevskyi, Anton Koliadin, Olena Sereda

“…In the work, the following methods are used: methods of digital image processing, methods of filtering and semantic segmentation of images, methods of graph analysis. …”
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Use of Sentinel-2 optical imagery for the reconstruction of coastal bathymetry: a case study in Mozambique by Francesco Varni, Bianca Federici, Alfonso Quarati, Michele Bolla Pittaluga, Monica De Martino

“…The well-established ratio-transform algorithm by Stumpf et al. (2003) and Sentinel-2 open data of the Palma Bay area, in Northern Mozambique, are used. The analysis of images characterised by different environmental and atmospheric conditions, and the presence of non-uniform seabed and sometimes turbid water makes it possible to highlight critical aspects affecting the accuracy of the method used, providing a realistic view of the method’s capabilities. …”
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Cluster-Based Flight Path Construction for Drone-Assisted Pear Pollination Using RGB-D Image Processing by Arata Kuwahara, Tomotaka Kimura, Sota Okubo, Rion Yoshioka, Keita Endo, Hiroyuki Shimizu, Tomohito Shimada, Chisa Suzuki, Yoshihiro Takemura, Takefumi Hiraguri

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Combination of improved acquisition system, processing, velocity model and migration for seismic imaging in areas of intense salt tectonics by A. N. Tiapkina, Yu. K. Tyapkin, E. Yu. Tiapkina

“…Various types of hydrocarbon traps associated with intensively developed salt bodies cannot be reliably delineated and then successfully explored by drilling without first obtaining adequate seismic images. This paper shows that such images can only be obtained by a synergic combination of the most advanced options for acquisition system, processing, velocity model and migration as elements of technology as a whole. …”
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The role of women in fish smoking processing and its impact on culinary tourism image in Malalanda Village, Kulisusu Districti by Rosmawati Rosmawati, Roslindah Daeng Siang, Irdam Riani, Wa Ode Piliana

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CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions. by Erik Hallström, Nikos Fatsis-Kavalopoulos, Manos Bimpis, Carolina Wählby, Anders Hast, Dan I Andersson

“…In this study, an automated deep learning-based image processing method is presented that can accurately segment bacterial growth and measure distances between key points on the CombiANT assay at sub-millimeter precision. …”
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Investigation of Fundus Images for Detection of Diabetic Retinopathy Stage Using Deep Learning by М. Р. Басараб, К. O. Іванько

“… The study is dedicated to the investigation of diabetic retinopathy images by digital processing methods and further pathological outcome levels classification. …”
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Assessing the intrapore volume and surface area of single corn kernel using CT scan imaging and machine vision by C. Igathinathane, Clairmont Clementson

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Guarded Diagnosis: Preserving Privacy in Cervical Cancer Detection with Convolutional Neural Networks on Pap Smear Images by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Manikandan Mahalingam, Kanimozhi Janarthanan, Kabilan Saravanan, Bruhathi Sathyanarayanan

“…Advancements in image processing have advanced medical diagnostics, especially in image classification, impacting healthcare by offering faster and more accurate analyses of magnetic resonance imaging (MRI) and X-rays. …”
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OBJECT DETECTION METHOD APPLICATION TO RUNWAY IMAGERY IN LOW VISIBILITY CONDITIONS by D. S. Andreev

“…The results of this work are relevant to the tasks of avionics, computer vision and image processing.…”
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Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

“…However, these approaches often require complex post-processing of the Bscan, which can be time-consuming and therefore makes it difficult to perform real-time characterization at the expense of such methods. …”
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Adaptive Curved Slicing for En Face Imaging in Optical Coherence Tomography by Mingxin Li, Phatham Loahavilai, Yueyang Liu, Xiaochen Li, Yang Li, Liqun Sun

“…The method is also compatible with other signal processing techniques, as demonstrated by a thermal-printed label ink thickness measurement confirmed by a microscopic image. …”
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DETECTION OF FRACTURE A CONTOURS ON the image using expandING MASKS by O. G. Shevchuk, V. Yu. Tsviatkou

“…It is shown that the method is superior to the method of Harris on speed and almost equal in quality of image processing.…”
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Detection method of slight bruises of apples based on hyperspectral imaging and RELIEF-extreme learning machine by ZHANG Meng, LI Guanghui

“…The results showed that the recognition accuracy of ELM model for the test set based on the full wavebands was 94.44%, and the accuracy of the Re-ELM model based on the characteristic wavebands was 96.67%, and the accuracy of the Re-SVM and Re-K mean models for the characteristic wavebands were 92.22% and 91.67%, respectively, which demonstrated that the Re-ELM was a more effective method for the bruise apple classification. Subsequently, an apple damage detection algorithm based on the characteristic wavebands and image processing was proposed, which performed an independent component algorithm (ICA) transformation of the characteristic wavebands, and selected the third component image of the ICA transformation, and used adaptive threshold segmentation to obtain the bruise area on apples. …”
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Data-Efficient Sowing Position Estimation for Agricultural Robots Combining Image Analysis and Expert Knowledge by Shuntaro Aotake, Takuya Otani, Masatoshi Funabashi, Atsuo Takanishi

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Diffusion magnetic resonance imaging data: development of methods and tools for diagnosis and treatment of brain diseases by K. A. Urazova, G. E. Gorlachev, A. P. Chernyaev, A. V. Golanov

“…Since the problem of developing software for diffusion MRI data remains relevant, this review presents our own experience in developing an application as part of a project on creating effective methods for processing diffusion MRI data and modeling white matter tracts.…”
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