نتایج جستجو برای: rgb

تعداد نتایج: 7868  

ژورنال: ژئوفیزیک ایران 1391
امین روشندل کاهو, حمیدرضا سیاه کوهی علیرضا حیدریان مهدی صادقی

تجزیه‌ طیفی داده‌های لرزه‌ای، حجم زیادی از داده‌ در بسامد‌های مختلف تولید می‌نماید که می‌توان آن‌ها را بصورت مکعب‌های تک‌بسامد تجزیه نمود. از این مکعب‌ها که حاوی اطلاعات مفیدی از روند‌های ساختاری و نهشته‌های رسوبی می‌باشند، می‌توان جهت نمایش این روند‌ها استفاده نمود. در این مقاله سه روش نمایش این روند‌ها مورد بررسی قرار می‌گیرد. در روش اول با استفاده از برش‌ زمانی از مکعب‌های تک‌بسامد، تغییرات ...

In the present work the magnitudes of pigments in the synthetic leather, were measured by means of scanner. Initially synthetic leather samples pigmented by three different pigments of yellow, blue and red colors were prepared. Then the pigmented samples were scanned, and the values of RGB of images were calculated. The artificial neural network (ANN) method used to make relation between RGB va...

2009
Kee-Hyon Park Oh-Seol Kwon Yeong-Ho Ha

o m p p c B bstract. This paper proposes a driving current control method for back light unit (BLU), consisting of red, green, and blue (RGB) ight-emitting diodes (LEDs), whereby a RGB optical sensor is used o check the output color stimulus variation to enable a time-stable olor stimulus for light emission by the RGB LED BLU. First, to btain the present color stimulus information of the RGB LE...

2016
Shengjun Tang Qing Zhu Wu Chen Walid Darwish Bo Wu Han Hu Min Chen

RGB-D sensors (sensors with RGB camera and Depth camera) are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks including limited measurement ranges (e.g., within 3 m) and errors in depth measurement increase with distance from the sensor with respect to 3D dense m...

2006
Petronio Bendito

Visual designers and artists may benefit from understanding computer colour models such as the RGB colour cube. Such an understanding may foster reasoned colour selection and design decisions for the RGB environment. The goal of this research is to examine the RGB colour cube and to explore its potential as a colour design tool. In order to achieve such objectives, visualization methods were de...

2017
Xinhang Song Shuqiang Jiang Luis Herranz

Depth can complement RGB with useful cues about object volumes and scene layout. However, RGB-D image datasets are still too small for directly training deep convolutional neural networks (CNNs), in contrast to the massive monomodal RGB datasets. Previous works in RGB-D recognition typically combine two separate networks for RGB and depth data, pretrained with a large RGB dataset and then fine ...

2016
Evan N. Kirby Puragra Guhathakurta Andrew J. Zhang Jerry Hong Michelle Guo Rachel Guo Judith G. Cohen Katia Cunha

Although red giants deplete lithium on their surfaces, some giants are Li-rich. Intermediate-mass asymptotic giant branch (AGB) stars can generate Li through the Cameron–Fowler conveyor, but the existence of Li-rich, low-mass red giant branch (RGB) stars is puzzling. Globular clusters are the best sites to examine this phenomenon because it is straightforward to determine membership in the clus...

Journal: :Proceedings of the International Astronomical Union 2016

Journal: :CoRR 2016
Ziyan Wang Ruogu Lin Jiwen Lu Jianjiang Feng Jie Zhou

In this paper, we propose a correlated and individual multi-modal deep learning (CIMDL) method for RGB-D object recognition. Unlike most conventional RGB-D object recognition methods which extract features from the RGB and depth channels individually, our CIMDL jointly learns feature representations from raw RGB-D data with a pair of deep neural networks, so that the sharable and modalspecific ...

Journal: :analytical and bioanalytical chemistry research 0
ardeshir shokrollahi department of chemistry, yasouj university 75918-74831, yasouj, iran fereshteh zarghampour department of chemistry, yasouj university, yasouj, 75918-74831, iran

in this study, the trace amounts of erythrosine, as a food dye is determined by cloud point extraction-scanometry (cpe-scanometry) as a new, facile, available, fast, sensitive, and low cost method. the method is based on the cpe of analyte from aqueous solution, diluting the extracted surfactant-rich phase with ethanol, transfer to plexiglas®cell and scanning the cells containing the analyte so...

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