14 papers · ranked by Valyu relevance
Arif ul Maula Khan, Ralf Mikut, Markus Reischl, Jie Tian
The parametrization of automatic image processing routines is time-consuming if a lot of image processing parameters are involved. An expert can tune parameters sequentially to get desired results. This may not be productive for applications with difficult image analysis tasks, e.g. when high noise and shading levels…
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…
Časlav Livada, Hrvoje Glavaš, Alfonzo Baumgartner, Dina Jukić + 3 more
'Alicja Kwasniewska' 'M. Hamed Mozaffari' 'Yudong Zhang'] Thermography is probably the most used method of measuring surface temperature by analyzing radiation in the infrared part of the spectrum which accuracy depends on factors such as emissivity and reflected radiation. Contrary to popular belief that thermographic…
Jacob J. Lamb, Kristian M. Lien, Dag Roar Hjelme
Title: Graphical abstract
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…
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…
Yun Hong
The application scene of camera pictures in our life is very huge, and the effect of information conveyed by images is more intense than words and language, so it is very important for us to make good use of pictures obtained by photography or even pictures obtained by other means. Aiming at the processing problem of…
Liangliang Zheng, Wei Xu, Gwanggil Jeon, Renato Machado
Since remote sensing images are one of the main sources for people to obtain required information, the quality of the image becomes particularly important. Nevertheless, noise often inevitably exists in the image, and the targets are usually blurred by the acquisition of the imaging system, resulting in the degradation…
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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…
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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…
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When producing plant-protein-based meat analogues via high moisture extrusion (HME), the structure of extrudates is determined by complex interactions between ingredient composition and processing conditions. To facilitate consumers in their transition towards a diet higher in plant-based proteins, the food industry…
Wojciech Michno, Patrick Wehrli, Srinivas Koutarapu, Christian Marsching + 9 more
Understanding of Alzheimer’s disease (AD) pathophysiology, requires molecular assessment of how key pathological factors, specifically amyloid β (Aβ) plaques, influence the surrounding microenvironment. Here, neuronal lipids are particularly of interest as these are implicated in pathological- and neurodegenerative…
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Localized detection of hydrogen permeation in steel membranes is crucial for practical applications but remains challenging. We present a reflective microscopy (RM) approach combined with machine learning (ML)-driven image analysis to address this issue. Hydrogen permeation in press-hardened steel alters the…
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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…