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Titlebook: Image and Signal Processing; 6th International Co Abderrahim Elmoataz,Olivier Lezoray,Driss Mammass Conference proceedings 2014 Springer Na

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樓主: Carter
11#
發(fā)表于 2025-3-23 11:02:50 | 只看該作者
Multispectral Endoscopy to Identify Precancerous Lesions in Gastric Mucosasue interaction in order to improve the visualization by creating false color images. However, these systems are limited to few wavelengths. In this paper, we propose a multispectral gastroendoscopic system and a methodology to identify precancerous lesions. The multispectral images collected during
12#
發(fā)表于 2025-3-23 17:09:41 | 只看該作者
13#
發(fā)表于 2025-3-23 21:29:21 | 只看該作者
14#
發(fā)表于 2025-3-23 23:19:07 | 只看該作者
Fundamental Study on Intraoperative Quantification of Gastrointestinal Viability by Transmission Ligrence of organ’s color by visual inspection. In this paper, we focus on the tissue oxygen saturation (StO.) that represents balance of oxygen demand and supply in tissue and try to estimate its value by transmitted light intensity analysis. We developed a system for measurement of transmitted light
15#
發(fā)表于 2025-3-24 05:35:32 | 只看該作者
Improved Spectral Density Measurement from Estimated Reflectance Data with Kernel Ridge Regressionems are considered for surface reflectance measurement, the possibility of calculating spectral print density over the spatial image domain arises. A drawback in using multi-spectral imaging systems is that some spectral reconstruction algorithms can produce estimated reflectances which contain nega
16#
發(fā)表于 2025-3-24 06:42:55 | 只看該作者
Spectral Colour Differences through Interpolationence of spectral colours so that the calculated differences are similar to CIEDE2000 colour differences. The developed system is based on a priori calculated differences between known spectra and the calculus parameters derived from them. With the current system one can calculate spectral difference
17#
發(fā)表于 2025-3-24 10:45:12 | 只看該作者
18#
發(fā)表于 2025-3-24 16:23:01 | 只看該作者
19#
發(fā)表于 2025-3-24 19:04:45 | 只看該作者
20#
發(fā)表于 2025-3-25 03:08:36 | 只看該作者
Natural Vision Data File Format as a New Spectral Image Format for Biological Applicationst is one of the best possible candidates for the standard of spectral image format due to its flexibility to adapt to various kinds of existing image format and capacity to include information needed for each application. In biology, the analysis of huge datasets acquired by various techniques requi
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