Results 41 to 50 of about 139,204 (191)

Toward color image segmentation in analog VLSI: Algorithm and hardware [PDF]

open access: yes, 1994
Standard techniques for segmenting color images are based on finding normalized RGB discontinuities, color histogramming, or clustering techniques in RGB or CIE color spaces.
Koch, Christof, Perez, Frank
core   +1 more source

Model of Image Color Difference and Partial Based On RGB Color Distribution Measuring

open access: yesInternational Journal of Grid and Distributed Computing, 2016
According to the color difference fabric dyeing measurement in production, partial color existed bad real-time problems. Color difference and color of RGB fabric images put forward by using the method of color distribution measurement of general, which needed rapid measurement of large area color.
Weilong Zhou, Chuanlai Yuan
openaire   +1 more source

Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance

open access: yesMethodsX
Colorectal cancer, arising from adenomatous polyps, is a leading cause of cancer-related mortality, making early detection and removal crucial for preventing cancer progression.
Jirakorn Jamrasnarodom   +3 more
doaj   +1 more source

ORGB: Offset Correction in RGB Color Space for Illumination-Robust Image Processing

open access: yes, 2017
Single materials have colors which form straight lines in RGB space. However, in severe shadow cases, those lines do not intersect the origin, which is inconsistent with the description of most literature.
Li, Ge   +3 more
core   +1 more source

On the construction of a color model for real-time visual moving objects segmentation [PDF]

open access: yes
[[abstract]]A color model, called RGB-Ellipse, is developed in this paper. The proposed color model takes advantages of CIE-L*a*b*94 and CMC(l:c) in determining color differences. Furthermore, the transformation between RGB and RGB-Ellipse is linear.
郭經華
core   +1 more source

Color Correction Based on CFA and Enhancement Based on Retinex With Dense Pixels for Underwater Images

open access: yesIEEE Access, 2020
Color correction and enhancement for underwater images is challenging due to attenuation and scattering. The underwater images often have low visibility and suffer from color bias. This paper presents a novel color correction method based on color filter
Changli Li   +4 more
doaj   +1 more source

A hybrid technique for face detection in color images [PDF]

open access: yes, 2005
In this paper, a hybrid technique for face detection in color images is presented. The proposed technique combines three analysis models, namely skin detection, automatic eye localization, and appearance-based face/nonface classification.
Cooray, Saman H., O'Connor, Noel E.
core   +1 more source

An Efficient Color Space for Deep-Learning Based Traffic Light Recognition

open access: yesJournal of Advanced Transportation, 2018
Traffic light recognition is an essential task for an advanced driving assistance system (ADAS) as well as for autonomous vehicles. Recently, deep-learning has become increasingly popular in vision-based object recognition owing to its high performance ...
Hyun-Koo Kim, Ju H. Park, Ho-Youl Jung
doaj   +1 more source

Underwater image quality enhancement through Rayleigh-stretching and averaging image planes

open access: yesInternational Journal of Naval Architecture and Ocean Engineering, 2014
Visibility in underwater images is usually poor because of the attenuation of light in the water that causes low contrast and color variation. In this paper, a new approach for underwater image quality improvement is presented.
Ghani Ahmad Shahrizan Abdul   +1 more
doaj   +3 more sources

Bayesian demosaicing using Gaussian scale mixture priors with local adaptivity in the dual tree complex wavelet packet transform domain [PDF]

open access: yes, 2013
In digital cameras and mobile phones, there is an ongoing trend to increase the image resolution, decrease the sensor size and to use lower exposure times. Because smaller sensors inherently lead to more noise and a worse spatial resolution, digital post-
Aelterman, Jan   +4 more
core   +1 more source

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