A new color correction method is introduced which predicts how changing the color of the scene illuminant will affect a camera’s RGB response. Like diagonal transformation color correction methods. the new method requires only 3-parameters. It therefore requires only the RGB color of the two illuminants be known. The method models the 9-parameters of a 3-by-3 linear transformation using a 3dime...

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...

The main purpose of this paper is to introduce and study new classes of soft closed sets like soft regular generalized b-closed sets in soft topological spaces (briefly soft rgb-closed set) Moreover, soft rg-closed, soft gpr-closed, soft gb-closed, soft gsp-closed, soft g$alpha$-closed, soft g$alpha$b-closed, and soft sgb-closed sets in soft topological spaces are introduced in this paper and w...

The use of Unmanned Aerial Vehicles (UAVs) in viticulture permits the capture of aerial Red-Green-Blue (RGB) images with an ultra-high spatial resolution. Recent studies have demonstrated that RGB images can be used to monitor spatial variability of vine biophysical parameters. However, for estimating these parameters, accurate and automated segmentation methods are required to extract relevant...

Robotic manipulation tasks, particularly in unstructured environments, require detailed information about the manipulator surroundings. Location and form of objects to be manipulated are especially important information. Due to the emergence of RGB-D cameras, e.g. the Microsoft Kinect, the research community w as able to develop important results related to 3D environment mapping, scene segment...

Maize crop production is constrained worldwide by nitrogen (N) availability and particularly in poor tropical and subtropical soils. The development of affordable high-throughput crop monitoring and phenotyping techniques is key to improving maize cultivation under low-N fertilization. In this study several vegetation indices (VIs) derived from Red-Green-Blue (RGB) digital images at the leaf an...

The use of RGB-Depth (RGB-D) sensors for assisting visually impaired people (VIP) has been widely reported as they offer portability, function-diversity and cost-effectiveness. However, polarization cues to assist traversability awareness without precautions against stepping into water areas are weak. In this paper, a polarized RGB-Depth (pRGB-D) framework is proposed to detect traversable area...

In this cryptosystem, we have considered RGB images for two-dimensional (2D) data security. Security of RGB images during transmission is a major concern, discussed globally. This paper proposes a novel technique for color image security by random hill cipher (RHC) over SLn(F) domain associated with 2D discrete wavelet transform. Existing techniques have discussed the security of image data on ...

This work proposes a robust visual odometry method for structured environments that combines point features with line and plane segments, extracted through an RGB-D camera. Noisy depth maps are processed by a probabilistic depth fusion framework based on Mixtures of Gaussians to denoise and derive the depth uncertainty, which is then propagated throughout the visual odometry pipeline. Probabili...

This paper proposes a deep neural network (DNN) for piece-wise planar depthmap reconstruction from a single RGB image. While DNNs have brought remarkable progress to single-image depth prediction, piece-wise planar depthmap reconstruction requires a structured geometry representation, and has been a difficult task to master even for DNNs. The proposed end-to-end DNN learns to directly infer a s...