An inverse approach is applied for image improving during visualization of electromagnetic fields. The red, green, blue color (RGB) model is used. The RGB color sources have been evaluated using the RGB color distributions of the electromagnetic field data set. The Generalized Sampled Pattern Matching method is applied to solve an ill posed linear system of equations for the corresponding inver...

We present an approach for motion estimation from videos captured by depth-sensing cameras. Our method uses the technique of graph matching to find groups of pixels that move to the same direction in subsequent frames. In order to choose the best matching for each patch, we minimize a cost function that accounts for distances on RGB and XYZ spaces. Our application runs at real-time rates for lo...

For your images, you will assume that the RGB photoreceptors of the camera have their dominant spectral sensitivities at long, medium, and short wavelengths respectively. (The exact spectral sensitivity is unknown.) You will also assume that the digital camera has mapped the light energy absorbed at each pixel in each RGB channel to a value in 0 to 255, using a non-linear mapping that is simila...

Any Universal Steganalysis algorithm developed should be tested with various stego-images to prove its efficiency. This work is aimed to build the stegoimage database which is obtained by implementing various RGB Least Significant Bit Steganographic algorithms. Though there are many stego-images sources available on the internet it lacks in the information such as how many rows has been infecte...

Intensively grown strawberries in a greenhouse require frequent and precise soil physicochemical constituents for optimal production. Strawberry leaf color analyses are the most effective way to evaluate status protect against excess environmental nutrients financial setbacks. Meanwhile, precision agriculture (PA) endorsements have been utilized mimic solutions these problems. This research aim...

We report the learning parameters for 16-layer VGGNet-based model in Table S-1. We chose the learning rates that lead to the largest decrease in the reconstruction loss in the first 2000 iterations for each layer. The “loss weighting” are balancing factors for reconstruction losses in different layers varied to make them comparable in magnitude. In particular, we computed image reconstruction l...

In this paper we address the problem of semantic labeling of indoor scenes on RGB-D data. With the availability of RGB-D cameras, it is expected that additional depth measurement will improve the accuracy. Here we investigate a solution how to incorporate complementary depth information into a semantic segmentation framework by making use of convolutional neural networks (CNNs). Recently encode...

We address the task of estimating the 6D pose of known rigid objects, from RGB and RGB-D input images, in scenarios where the objects are heavily occluded. Our main contribution is a new modular processing pipeline. The first module localizes all known objects in the image via an existing instance segmentation network. The next module densely regresses the object surface positions in its local ...

RGB marking and DNA barcoding are two cutting-edge technologies in the field of clonal cell marking. To combine the virtues of both approaches, we equipped LeGO vectors encoding red, green or blue fluorescent proteins with complex DNA barcodes carrying color-specific signatures. For these vectors, we generated highly complex plasmid libraries that were used for the production of barcoded lentiv...

We present V and I photometry of a 9.4 × 9.4 field centered on the dwarf spheroidal galaxy Leo II. The Tip of the Red Giant Branch is identified at I = 17.83± 0.03 and adopting 〈[M/H ]〉 = −1.53±0.2 from the comparison of RGB stars with Galactic templates, we obtain a distance modulus (m − M)0 = 21.84 ± 0.13, corresponding to a distance D = 233 ± 15 Kpc. Two significant bumps have been detected ...