Results 251 to 260 of about 1,888,108 (299)
Illuminant Estimation in Multispectral Imaging [PDF]
Journal of the Optical Society of America A: Optics and Image Science, and Vision, 2017 With the advancement in sensor technology, the use of multispectral imaging is gaining wide popularity for computer vision applications. Multispectral imaging is used to achieve better discrimination between the radiance spectra, as compared to the color images. However, it is still sensitive to illumination changes.
Jon Yngve Hardeberg +2 more
exaly +4 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Multispectral imaging and image processing
SPIE Proceedings, 2014The color accuracy of conventional RGB cameras is not sufficient for many color-critical applications. One of these applications, namely the measurement of color defects in yarns, is why Prof. Til Aach and the Institute of Image Processing and Computer Vision (RWTH Aachen University, Germany) started off with multispectral imaging.
openaire +2 more sources
Analysis of the Multispectral and SAR Image
2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), 2021The SAR image and the multispectral image are both used for dynamic monitoring, mineral resources investigation, urban and rural monitoring and evaluation, traffic network exploration, forest resources investigation, desertification monitoring, and so on. The multi-spectral and SAR image fusion to improve the classify quality is discussed in this paper,
Shuchun Zhang +5 more
openaire +1 more source
Advances in Multispectral Confocal Imaging
Confocal, Multiphoton, and Nonlinear Microscopic Imaging, 2003Due to the tendencies in biological research towards multiple stainings and increased use of newly developed dyes like fluorescent proteins, the application areas of multispectral confocal imaging increase rapidly. We present here the most recent advances in this technology, particularly concerning but not limited to the excitation module, the ...
Volker Seyfried +3 more
openaire +1 more source
Multispectral imaging of the archimedes palimpsest
32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings., 2004Multispectral imaging techniques are being applied to improve the readability of the text in a tenth-century manuscript that includes seven treatises of Archimedes. The manuscript was erased and overwritten about 200 years later with the text of a Christian prayer book.
Roger L. Easton Jr. +2 more
openaire +2 more sources
Deblurring Multispectral Laparoscopic Images
2014Multispectral imaging is an optical modality that can provide real-time in vivo information about tissue characteristics and function through signal sensitivity to chromophores in the tissue. In this paper, we present a deblurring strategy that enables imaging of dynamic tissues at wavelengths where the required acquisition time can cause significant ...
Geoffrey Jones +4 more
openaire +2 more sources
MULTISPECTRAL IMAGING FLOW CYTOMETRY
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007Flow cytometry has been an accepted technique for high throughput cellular analysis for several decades. It is unique in its ability to analyze large numbers of cells directly in fluid suspension, but it lacks any spatial resolution. A number of approaches have been taken to add imaging capabilities to flow cytometry, but generally at the expense of ...
openaire +1 more source
Multispectral analysis of multimodal images
Acta Oncologica, 2009An increasing number of multimodal images represent a valuable increase in available image information, but at the same time it complicates the extraction of diagnostic information across the images. Multispectral analysis (MSA) has the potential to simplify this problem substantially as unlimited number of images can be combined, and tissue properties
Yngve, Kvinnsland +3 more
openaire +2 more sources
Distributed coding of multispectral images
2017 IEEE International Symposium on Information Theory (ISIT), 2017Compression of multispectal images is of great importance in an environment where resources such as computational power and memory are scarce. To that end, we propose a new extremely low-complexity encoding approach for compression of multispectral images, that shifts the complexity to the decoding.
Maxim Goukhshtein +3 more
openaire +2 more sources
Multispectral Satellite Image Processing
2016Having begun in the 1970s with the American Landsat program, the use of optical satellite images for civilian purposes has since experienced significant technological advancements. In the space of 10 years, the images provided by Earth observation satellites have gone from high to very high spatial resolution, from a decametric resolution to a ...
Ose, K. +4 more
openaire +2 more sources