Multi-histogram equalization methods for contrast enhancement and brightness preserving
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 …
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 …
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
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 …
Given that thresholding segmentation is just an optimization problem, we use Otsu's function …
Framework for efficient optimal multilevel image thresholding
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 …
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 …
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 …
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 …
role in the processes of image analysis, target recognition and tracking, and image …
[PDF][PDF] Contrast enhancement in digital imaging using histogram equalization
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 …
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 …
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 …
applications. Swing adopts MVC at component level. We use it as a case study to illustrate …