Search · four archives
Search · four archives
12 papers · ranked by Valyu relevance
Seiichi Uchida
This paper reviews image processing and pattern recognition techniques, which will be useful to analyze bioimages. Although this paper does not provide their technical details, it will be possible to grasp their main tasks and typical tools to handle the tasks. Image processing is a large research area to improve the…
Lior Shamir, John D. Delaney, Nikita Orlov, D. Mark Eckley + 2 more
'Ilya G. Goldberg' 'Fran Lewitter'] The increasing prevalence of automated image acquisition systems is enabling new types of microscopy experiments that generate large image datasets. However, there is a perceived lack of robust image analysis systems required to process these diverse datasets. Most automated image…
Yufeng Zheng, Erik Blasch, Adel S. Elmaghraby
State-of-the-art image analysis and pattern recognition techniques have been successfully applied to a wide variety of industrial fields such as medical imaging, remote sensing, and biometrics, as well as methods for machine learning, computer vision, and visualization. However, the current methods of image analysis…
Evgeny Gladilin, Roland Eils
Numerous findings indicate that spatial phase bears an important cognitive information. Distortion of phase affects topology of edge structures and makes images unrecognizable. In turn, appropriately phase-structured patterns give rise to various illusions of virtual image content and apparent motion. Despite a large…
Abdulwahab Alazeb, Bisma Riaz Chughtai, Naif Al Mudawi, Yahya AlQahtani + 4 more
'Yahya AlQahtani' 'Mohammed Alonazi' 'Hanan Aljuaid' 'Ahmad Jalal' 'Hui Liu'] Introduction During the last few years, a heightened interest has been shown in classifying scene images depicting diverse robotic environments. The surge in interest can be attributed to significant improvements in visual sensor technology…
Yaser Daanial Khan, Nabeel Sabir Khan, Shoaib Farooq, Adnan Abid + 3 more
'Sher Afzal Khan' 'Farooq Ahmad' 'M. Khalid Mahmood'] Recognition of human actions is an emerging need. Various researchers have endeavored to provide a solution to this problem. Some of the current state-of-the-art solutions are either inaccurate or computationally intensive while others require human intervention. In…
Peng Peng, Ivens Portugal, Paulo Alencar, Donald Cowan + 1 more
analysis A face recognition software framework based on principal component analysis Authors: ['Peng Peng' 'Ivens Portugal' 'Paulo Alencar' 'Donald Cowan' 'Robertas Damaševičius'] Face recognition, as one of the major biometrics identification methods, has been applied in different fields involving economics, military…
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen + 3 more
In materials research, the task of characterizing hundreds of different materials traditionally requires equally many human hours spent measuring samples one by one. We demonstrate that with the integration of computer vision into this material research workflow, many of these tasks can be automated, significantly…
Kohulan Rajan, Henning Otto Brinkhaus, M. Isabel Agea, Achim Zielesny + 1 more
The number of publications describing chemical structures has increased steadily over the last decades. However, the majority of published chemical information is currently not available in machine-readable form in public databases. It remains a challenge to automate the process of information extraction in a way that…
Lutz Weber, Aleksei Krasnov, Shadrack Barnabas, Timo Böhme + 1 more
The extraction of chemical information from images, also known as Optical Chemical Structure Recognition (OCSR) has recently gained new attention. This new interest is ignited by various machine learning methods introduced over the last years and the new possibilities to train image models for specific tasks such as…
Authors not listed
Predicting protein-ligand binding affinity from three-dimensional (3D) structural data is a central task in structure-based drug discovery, yet it remains challenging due to limited data availability, structural complexity, and the sparse nature of 3D molecular representations. In this study, we investigate the…
Heeseung Lee, Daeho Kim, Heyin Lee, Namyoung Gwak + 6 more
- 1. Computational Science Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea - 2. Department of Materials Science and Engineering, Korea University, 145 Anam-ro, Seoul 02841, Republic of Korea - 3. Department of Chemical and Biological Engineering, Korea University, Seoul 02841…