Article
Environmental Sciences
Fang Chen, Ning Wang, Bo Yu, Yuchu Qin, Lei Wang
Summary: The growing volume of remote sensing images presents a challenge in processing large datasets with limited CPU memory. Utilizing distributed clusters with strong calculation power is an effective solution, although the use of big data platforms may be limited due to incomplete objects and large communication volumes. Implementing a distributed strategy based on Spark platform for image segmentation algorithms allows for faster execution time and high accuracy compared to traditional methods.
Article
Computer Science, Software Engineering
A. Loddo, C. Di Ruberto, A. M. P. G. Vale, M. Ucchesu, J. M. Soares, G. Bacchetta
Summary: Image analysis is crucial for studying various topics in life sciences. This study presents software that performs image analysis for seed feature extraction and classification, demonstrating outstanding performance on seed datasets.
Article
Automation & Control Systems
Jin Lu, Kok-Meng Lee, Jingjing Ji
Summary: This article presents an image processing method that optimizes the design of a three-level color machine vision algorithm for handling chicken carcasses. The algorithm overcomes common problems in image segmentation, feature identification, and pose estimation, and is effective in classifying, identifying, and locating poultry meat products.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Biochemical Research Methods
Hui Zhang, Shan Gao, Weiyang Chen
Summary: This paper presents a method for automatically recognizing and counting head thrashes behavior of worms from experimental videos. The proposed algorithm accurately counts the number of head thrashes using image processing and angle calculation, and analyzes the difference in head thrashes behavior among different worm strains, thereby demonstrating the relationship between head thrashes behavior and lifespan.
BMC BIOINFORMATICS
(2022)
Article
Mathematics
Jesus Jaime Moreno Escobar, Erika Yolanda Aguilar del Villar, Oswaldo Morales Matamoros, Liliana Chanona Hernandez
Summary: This work consists of three parts: (i) development of a methodology for building a 3D/stereoscopic database, (ii) design of a software tool for degrading 3D/stereoscopic images, and (iii) conducting a psychophysical experiment on a specific type of noise. The integration of these three parts is the novelty of this work, providing assistance to professionals in estimating three-dimensional image quality and generating new image databases.
Article
Radiology, Nuclear Medicine & Medical Imaging
Gisella Gennaro, Letizia Povolo, Sara Del Genio, Lina Ciampani, Chiara Fasoli, Paolo Carlevaris, Maria Petrioli, Tiziana Masiero, Federico Maggetto, Francesca Caumo
Summary: This study aims to improve the individual performance of breast radiographers by using automated software to assess the correctness of breast positioning and compression. The results showed that active use of the software tool significantly increased the quality of breast positioning and compression, indicating the potential to improve screening outcomes.
EUROPEAN RADIOLOGY
(2023)
Article
Biology
Theo Aspert, Didier Hentsch, Gilles Charvin, Ihor Smal
Summary: This article introduces a high-throughput single-cell division tracking method based on a microfluidic image acquisition platform and deep learning software, which can automatically reconstruct cellular replicative lifespans and provide comprehensive temporal cellular metrics for studying cellular adaptation dynamics and real-time cell survival under environmental stress.
Article
Radiology, Nuclear Medicine & Medical Imaging
Peng Xiao, Zhongzhou Luo, Yuqing Deng, Gengyuan Wang, Jin Yuan
Summary: An algorithm was developed for multiparametric analysis of meibography images, providing objective evaluation of meibomian gland morphology and function with high similarity and moderate segmentation errors compared to manual approach.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Multidisciplinary Sciences
Nurul Syahira Mohamad Zamani, Wan Mimi Diyana Wan Zaki, Zariyantey Abd Hamid, Aqilah Baseri Huddin
Summary: This article provides an overview of general cell analysis methods and specific stem cell analysis approaches, highlighting the limitations of traditional methods and suggesting the potential of using modern technologies such as artificial intelligence and deep learning for automated cell analysis.
Article
Energy & Fuels
Leyla Ismailova, Victoria Dochkina, Mustafa Al Ibrahim, Mokhles Mezghani
Summary: A practical automated method for estimating drill cuttings particle sizes using digital images is proposed. The method combines several well-known techniques and has been tested on images from wells with varying lithologies and particle sizes. The results show that the method is robust and provides accurate measurements comparable to manual measurements, with a fast processing speed suitable for near real-time applications.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiao T. Li, Jason W. Allen, Ranliang Hu
Summary: In recent years, there has been a significant increase in the quantity and complexity of medical imaging acquisition and processing. Although there are numerous software programs available for clinical practice, there is still a need for specialized, custom-built software for advanced algorithms and new research areas. This paper describes the implementation of a versatile and simple image-processing pipeline for rapid prototyping and testing of image analysis algorithms in a clinical environment. The pipeline combines Orthanc server, custom MATLAB code, and publicly available software tools to automatically receive and analyze resting-state functional MRI data.
JOURNAL OF DIGITAL IMAGING
(2023)
Article
Medicine, General & Internal
David Prangel, Michelle Prasuhn, Felix Rommel, Salvatore Grisanti, Mahdy Ranjbar
Summary: This study assessed the comparability, reliability, and ability of commonly used automated thresholding algorithms in calculating vessel density in the retina and choriocapillaris layers. The results showed significant differences in estimated vessel densities for the algorithms, as well as variations in their reliability and ability to discriminate between physiological and pathological conditions.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Biology
Gayathri Mahalingam, Russel Torres, Daniel Kapner, Eric T. Trautman, Tim Fliss, Shamishtaa Seshamani, Eric Perlman, Rob Young, Samuel Kinn, JoAnn Buchanan, Marc M. Takeno, Wenjing Yin, Daniel J. Bumbarger, Ryder P. Gwinn, Julie Nyhus, Ed Lein, Steven J. Smith, R. Clay Reid, Khaled A. Khairy, Stephan Saalfeld, Forrest Collman, Nuno Macarico da Costa
Summary: Serial-section electron microscopy is a high-resolution method for studying biological samples, with applications in reconstructing neural wiring diagrams. We present ASAP, a software pipeline that can handle large datasets in a distributed computational environment, offering high throughput and modular design.
Article
Environmental Sciences
William Yamada, Wei Zhao, Matthew Digman
Summary: An automatic method using monovision un-crewed aerial vehicle imagery was developed to obtain geographic coordinates of bales, with YOLOv3 algorithm identified as the best option in terms of accuracy and speed. Lowering image quality resulted in decreased performance.
Article
Chemistry, Analytical
Lukasz Gierz, Krzysztof Przybyl, Krzysztof Koszela, Adamina Duda, Witold Ostrowicz
Summary: This study assessed samples of triticale seeds of various qualities, obtained during experiments on an original test facility. The neural model generation process, based on MLPN and statistical machine training, was successful in classifying seed quality at different sowing speeds. The lowest RMS error of 0.052 and a classification correctness coefficient of 0.99 were achieved when MLPN was used to identify contaminants in seeds sown at a speed of 15 m/s.
Article
Agriculture, Multidisciplinary
Eren Erdal Aksoy, Alexey Abramov, Florentin Woergoetter, Hanno Scharr, Andreas Fischbach, Babette Dellen
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2015)
Article
Computer Science, Artificial Intelligence
Hanno Scharr, Massimo Minervini, Andrew P. French, Christian Klukas, David M. Kramer, Xiaoming Liu, Imanol Luengo, Jean-Michel Pape, Gerrit Polder, Danijela Vukadinovic, Xi Yin, Sotirios A. Tsaftaris
MACHINE VISION AND APPLICATIONS
(2016)
Article
Computer Science, Artificial Intelligence
Kai Krajsek, Marion I. Menzel, Hanno Scharr
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2016)
Editorial Material
Computer Science, Artificial Intelligence
Hanno Scharr, Hannah Dee, Andrew P. French, Sotirios A. Tsaftaris
MACHINE VISION AND APPLICATIONS
(2016)
Article
Computer Science, Artificial Intelligence
Massimo Minervini, Andreas Fischbach, Hanno Scharr, Sotirios A. Tsaftaris
PATTERN RECOGNITION LETTERS
(2016)
Article
Plant Sciences
Siegfried Jahnke, Johanna Roussel, Thomas Hombach, Johannes Kochs, Andreas Fischbach, Gregor Huber, Hanno Scharr
Letter
Plant Sciences
Sotirios A. Tsaftaris, Massimo Minervini, Hanno Scharr
TRENDS IN PLANT SCIENCE
(2016)
Article
Plant Sciences
Hanno Scharr, Christoph Briese, Patrick Embgenbroich, Andreas Fischbach, Fabio Fiorani, Mark Mueller-Linow
FRONTIERS IN PLANT SCIENCE
(2017)
Article
Biochemical Research Methods
M. Valerio Giuffrida, Feng Chen, Hanno Scharr, Sotirios A. Tsaftaris
Editorial Material
Plant Sciences
Sotirios A. Tsaftaris, Hanno Scharr
TRENDS IN PLANT SCIENCE
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
M. P. Cendrero-Mateo, S. Bennertz, A. Burkart, T. Julitta, S. Cogliati, H. Scharr, P. Rademske, L. Alonso, F. Pinto, U. Rascher
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017)
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
H. Scharr, T. Pridmore, S. A. Tsaftaris
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017)
(2017)
Article
Agriculture, Multidisciplinary
Alejandro Agostini, Guillem Alenya, Andreas Fischbach, Hanno Scharr, Florentin Woergoetter, Carme Torras
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2017)