Multi-histogram equalization methods for contrast enhancement and brightness preserving

D Menotti, L Najman, J Facon… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
Histogram equalization (HE) has proved to be a simple and effective image contrast
enhancement technique. However, it tends to change the mean brightness of the image to …

Review on histogram equalization based image enhancement techniques

CR Nithyananda… - … Conference on Electrical …, 2016 - ieeexplore.ieee.org
The multimedia devices, mobile phones and other palmtop devices are integral part of our
day to day life. Image and video processing plays a key role in modern day information and …

Multilevel thresholding segmentation of color plant disease images using metaheuristic optimization algorithms

R Akay, RAA Saleh, SMO Farea, M Kanaan - Neural Computing and …, 2022 - Springer
In this study, we apply multilevel thresholding segmentation to color images of plant disease.
Given that thresholding segmentation is just an optimization problem, we use Otsu's function …

Framework for efficient optimal multilevel image thresholding

M Luessi, M Eichmann, GM Schuster… - Journal of Electronic …, 2009 - spiedigitallibrary.org
Image thresholding is a very common image processing operation, since almost all image
processing schemes need some sort of separation of the pixels into different classes. In …

[PDF][PDF] Contrast enhancement techniques using histogram equalization methods on color images with poor lightning

AS Krishna, GS Rao, M Sravya - International journal of computer …, 2013 - academia.edu
Histogram equalization (HE) is a simple and widely used image contrast enhancement
technique. The basic disadvantage of HE is it changes the brightness of the image. In order …

An efficient adaptive Masi entropy multilevel thresholding algorithm based on dynamic programming

B Lei, J Li, N Wang, H Yu - Journal of Visual Communication and Image …, 2024 - Elsevier
Masi entropy multilevel thresholding can utilize additive and non-extensive information in
images to effectively segment a complex image. However, the entropy index of Masi entropy …

Image thresholding method based on Tsallis entropy correlation

S Wang, J Fan - Multimedia Tools and Applications, 2024 - Springer
Image segmentation is an initial task in many vision-based systems and plays an important
role in the processes of image analysis, target recognition and tracking, and image …

[PDF][PDF] Contrast enhancement in digital imaging using histogram equalization

D Menotti, AA Araújo, GL Pappa, L Najman… - VII Workshop of Theses …, 2008 - academia.edu
This work proposes two methodologies for fast image contrast enhancement based on
histogram equalization (HE), one for gray-level images, and other for color images. For gray …

An efficient algorithm for optimal multilevel thresholding of irregularly sampled histograms

L Rueda - Structural, Syntactic, and Statistical Pattern Recognition …, 2008 - Springer
Optimal multilevel thresholding is a quite important problem in image segmentation and
pattern recognition. Although efficient algorithms have been proposed recently, they do not …

Component-vs. application-level MVC architecture

Y Tao - 32nd Annual Frontiers in Education, 2002 - ieeexplore.ieee.org
We describe our approach to teaching the MVC (Model-View-Controller) architecture for GUI
applications. Swing adopts MVC at component level. We use it as a case study to illustrate …