Results 21 to 30 of about 139,204 (191)

Robust Intrinsic and Extrinsic Calibration of RGB-D Cameras [PDF]

, 2018
Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications.
Basso, Filippo, Menegatti, Emanuele, Pretto, Alberto   +2 more
core   +2 more sources

Quaternion and Split Quaternion Neural Networks for Low-Light Color Image Enhancement

IEEE Access, 2023
In this study, two models of multilayer quaternionic feedforward neural networks are presented. Whereas the first model is based on quaternion algebra, the second model uses split quaternion algebra.
Eduardo Jesus De Davila-Meza, Eduardo Jose Bayro-Corrochano   +1 more
doaj   +1 more source

Clues on the evolution of the Carina dwarf spheroidal galaxy from the color distribution of its red giant stars [PDF]

, 2003
The thin red giant branch (RGB) of the Carina dwarf spheroidal galaxy appears at first sight quite puzzling and seemingly in contrast with the presence of several distinct bursts of star formation.
Cannon R. D., Enrico V. Held, Gallart C., Gianpaolo Bertelli, Irwin M., Ivo Saviane, Luca Rizzi, Mighell K. J.   +7 more
core   +2 more sources

WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture

Sensors, 2023
Smart farming (SF) applications rely on robust and accurate computer vision systems. An important computer vision task in agriculture is semantic segmentation, which aims to classify each pixel of an image and can be used for selective weed removal ...
Florian Kitzler, Norbert Barta, Reinhard W. Neugschwandtner, Andreas Gronauer, Viktoria Motsch   +4 more
doaj   +1 more source

Shortest Paths in HSI Space for Color Texture Classification [PDF]

, 2018
Color texture representation is an important step in the task of texture classification. Shortest paths was used to extract color texture features from RGB and HSV color spaces.
A Drimbarean, AR Backes, AS Martinez, CR Li, Dalcimar Casanova, F Bianconi, G Paschos, GH Liu, JJM Sá Junior, JJM Sá Junior, JJM Sá Junior, L. da F. Costa, M Unser, P Napoletano, RM Haralick, RW Harvey, Y Dong, Y Dong, Y Dong, Y Dong, Y Dong, ZH Guo, ZH Guo   +22 more
core   +2 more sources

Non-Destructive Measurement of Rice Amylose Content Based on Image Processing and Artificial Neural Networks (ANN) Model

Jurnal Teknik Pertanian Lampung, 2022
The purpose of this study was to develop a method of measuring the amylose content of rice using image processing techniques and an Artificial Neural Network (ANN) model.
Tri Wahyu Saputra, Yagus Wijayanto, Suci Ristiyana, Ika Purnamasari, Wildan Muhlison   +4 more
doaj   +1 more source

Human Skin Detection Using RGB, HSV and YCbCr Color Models [PDF]

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016), 2017
ICCASP/ICMMD-2016. Published by Atlantic Press.
Kolkur, S., Kalbande, D., Shimpi, P., Bapat, C., Jatakia, J.   +4 more
openaire   +2 more sources

Intelligent image analysis for retrieval of leaf chlorophyll content of rice from digital images of smartphone under natural light

Photosynthetica, 2019
The present study describes a new imaging method to acquire rice leaf images under field conditions using a smartphone and modeling approaches to retrieve the leaf chlorophyll (Chl) content from digitized images.
P. MOHAN, S. GUPTA
doaj   +1 more source

Oil palm fruit bunch grading system using red, green and blue digital number [PDF]

, 2008
This research deals with the ripeness grading of oil palm fruit bunches. The current practice in the oil palm mills is to grade the oil palm bunches manually using human graders. This method is subjective and subject to disputes.
Ben Saaed, Osama M., Eshanta, Omar M., M. Alfatni, Meftah Salem, Mohamed Shariff, Abdul Rashid, Mohd Shafri, Helmi Zulhaidi   +4 more
core   +1 more source

Testing galaxy formation models with the GHOSTS survey: The color profile of M81's stellar halo [PDF]

, 2013
We study the properties of the stellar populations in M81's outermost part, which hereafter we will term the stellar halo, using HST ACS/WFC observations of 19 fields from the GHOSTS survey.
Bailin, Jeremy, Bell, Eric F., Dalcanton, Julianne J., de Jong, Roelof S., Holwerda, Benne W., Monachesi, Antonela, Radburn-Smith, David, Streich, David, Vlajic, Marija   +8 more
core   +3 more sources