23 papers · ranked by Valyu relevance
Pegah Dehbozorgi, Oleg Ryabchykov, Thomas W. Bocklitz
As medical imagery remains the cornerstone of diagnosis, the success of complex classification tasks depends on high-quality data and diagnostic features. This study evaluates image pre-processing and feature extraction to optimize model performance. Our investigation assesses how variations in pre-processing and…
Ovi Paul
—NumtaDB is by far the largest data-set collection for handwritten digits in Bengali. This is a diverse dataset containing more than 85000 images. But this diversity also makes this dataset very difficult to work with. The goal of this paper is to find the benchmark for pre-processed images which gives good accuracy on…
Kris D. McCombe, Stephanie G. Craig, Amélie Viratham Pulsawatdi, Javier I. Quezada-Marín + 7 more
The growth of digital pathology over the past decade has opened new research pathways and insights in cancer prediction and prognosis. In particular, there has been a surge in deep learning and computer vision techniques to analyse digital images. Common practice in this area is to use image pre-processing and…
Keumsun Park, Minah Chae, Jae Hyuk Cho
Even though computer vision has been developing, edge detection is still one of the challenges in that field. It comes from the limitations of the complementary metal oxide semiconductor (CMOS) Image sensor used to collect the image data, and then image signal processor (ISP) is additionally required to understand the…
Agata Giełczyk, Anna Marciniak, Martyna Tarczewska, Zbigniew Lutowski + 1 more
To verify how the selected pre-processing method affects the final classification result, we proposed a baseline system. The general overview of this system is presented in [pone.0265949.g002]. The black box visible in [pone.0265949.g002] marks the selected pre-processing method. The pre-processing step is an important…
Akane Shoda, Tomo Miyazaki, Shinichiro Omachi, Jiachen Yang
JPEG is the international standard for still image encoding and is the most widely used compression algorithm because of its simple encoding process and low computational complexity. Recently, many methods have been developed to improve the quality of JPEG images by using deep learning. However, these methods require…
Lan Shi, Christopher Soell, Andreas Baenisch, Robert Weigel + 2 more
'Jürgen Seiler' 'Thomas Ußmüller'] Abstract—A concept for a novel CMOS image sensor suited for analog image pre-processing is presented in this paper. As an example, an image restoration algorithm for reducing image noise is applied as image pre-processing in the analog domain. To supply low-latency data input for…
Thi Phuoc Hanh Nguyen, Zinan Cai, Khanh-Duy Nguyen, Sokuntheariddh Keth + 2 more
'Sokuntheariddh Keth' 'Ningyuan Shen' 'Mi‐Ra Park'] This paper focuses on finding the most optimal pre-processing methods considering three common algorithms for image enhancement: Brightening, CLAHE and Retinex. For the purpose of image training in general, these methods will be combined to find out the most optimal…
Liang Cao, Peng Jia, Jiaxin Li, Song Yu + 2 more
Artificial Intelligence Era Authors: ['Liang Cao' 'Peng Jia' 'Jiaxin Li' 'Song Yu' 'Chenyang Hou' 'Yushan Li'] The rapid advancement of image analysis methods in time-domain astronomy, particularly those leveraging artificial intelligence (AI) algorithms, has highlighted efficient image pre-processing as a critical…
H. A. Abdulkareem, A. M. S. Tekanyi, Isiyaku Yau, Bashir Olaniyi Sadiq
'Bashir Olaniyi Sadiq'] ABSTRACT: This paper developed a brightness enhancement technique for video frame pixel intensity improvement. Frames extracted from the six sample video data used in this work were stored in the form of images in a buffer. Noise was added to the extracted image frames to vary the intensity of…
Manuel Mauricio Goez, Maria C. Torres-Madronero, Sarah Rothlisberger, Edilson Delgado-Trejos
'Edilson Delgado-Trejos'] Background Two-dimensional gel electrophoresis (2-DGE) is a commonly used tool for proteomic analysis. This gel-based technique separates proteins in a sample according to their isoelectric point and molecular weight. 2-DGE images often present anomalies due to the acquisition process, such…
Diganta Misra, Sparsha Mishra, Bhargav Appasani
Image Processing in Astronomy is a major field of research and involves a lot of techniques pertaining to improve analyzing the properties of the celestial objects or obtaining preliminary inference from the image data. In this paper, we provide a comprehensive case study of advanced image processing techniques applied…
Dimitry Tegunov, Patrick Cramer
The acquisition of cryo-electron microscopy (cryo-EM) data from biological specimens is currently largely uncoupled from subsequent data evaluation, correction and processing. Therefore, the acquisition strategy is difficult to optimize during data collection, often leading to suboptimal microscope usage and…
Chao Pan, S. M. Hossein Tabatabaei Yazdi, S Kasra Tabatabaei, Alvaro G. Hernandez + 2 more
The main obstacles for the practical deployment of DNA-based data storage platforms are the prohibitively high cost of synthetic DNA and the large number of errors introduced during synthesis. In particular, synthetic DNA products contain both individual oligo (fragment) symbol errors as well as missing DNA oligo…
B. Aarthy, B. Srutha Keerthi
Digital image processing has a wide range of uses, including robotics and automated inspection of industrial parts. Other uses include remote sensing using satellites and other spacecraft, image transmission and storage for business applications, medical processing, and Acoustic image processing. The process of…
Xiongtao Ruan, Matthew Mueller, Gaoxiang Liu, Frederik Görlitz + 12 more
Light sheet microscopy is a powerful technique for high-speed 3D imaging of subcellular dynamics and large biological specimens. However, it often generates datasets ranging from hundreds of gigabytes to petabytes in size for a single experiment. Conventional computational tools process such images far slower than the…
Authors not listed
During charge/discharge cracking occurs in Nickel Manganese Cobalt (NMC) secondary particles. Secondary particles with cracks will have observably lower grey-levels in micro-CT datasets compared to an otherwise identical pristine particle. This is due to the ‘partial volume effect’ where voxels representative of space…
Bevan L. Cheeseman, Ulrik Günther, Mateusz Susik, Krzysztof Gonciarz + 1 more
Modern microscopy modalities create a data deluge with gigabytes of data generated each second, or terabytes per day. Storing and processing these data is a severe bottleneck. We argue that this is an artifact of the images being represented on pixels. To address the root of the problem, we here propose the Adaptive…
Sawayama Masataka
This perspective on efficient color processing is based on three key findings from material perception studies. The first finding is that color and luminance are highly redundant in certain materials, particularly in wet or translucent objects with subsurface scattering . For example, there is a strong negative…
Authors not listed
Monolayer graphene is a suitable active material for several electronics and sensor applications, for which large-area individual sheets are necessary on insulating substrates. Chemical vapor deposition (CVD) enables the synthesis of large-area graphene of high quality on metallic supports. However, graphene grown in…
Authors not listed
Scanning emission-based microscopies, such as X-ray fluorescence (XRF) and energy-dispersive X-ray spectroscopy, offer nanometer-scale chemical maps, but suffer from long acquisition times and radiation damage. Lower-flux and shorter dwell time scans mitigate this problem, but the resulting signal loss can only…
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…
Authors not listed
Photocatalytic overall water splitting is a promising pathway to green hydrogen but also presents unique research challenges due to the need to detect both gaseous products (H2 and O2). While gas chromatography (GC) is the most commonly employed method in this context, it faces multiple shortcomings: low time…