Nature and biologically inspired image segmentation techniques
Image processing is among the significant areas of growth in the current scenario. It consist
of a set of techniques typically used to enhance the raw image obtained from different …
of a set of techniques typically used to enhance the raw image obtained from different …
Optimal multi-level thresholding using a two-stage Otsu optimization approach
DY Huang, CH Wang - Pattern Recognition Letters, 2009 - Elsevier
Otsu's method of image segmentation selects an optimum threshold by maximizing the
between-class variance in a gray image. However, this method becomes very time …
between-class variance in a gray image. However, this method becomes very time …
Modified grasshopper algorithm-based multilevel thresholding for color image segmentation
Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …
much attention during the past few years. The Tsallis entropy method is implemented for its …
Multilevel image thresholding by fireworks algorithm
This paper presents implementation of the recent fireworks algorithm adjusted for solving
multilevel image thresholding problem. This is an important problem since it is often used in …
multilevel image thresholding problem. This is an important problem since it is often used in …
Fuzzy entropy based optimal thresholding using bat algorithm
ZW Ye, MW Wang, W Liu, SB Chen - Applied Soft Computing, 2015 - Elsevier
Image segmentation is a very significant process in image analysis. Much effort based on
thresholding has been made on this field as it is simple and intuitive, commonly used …
thresholding has been made on this field as it is simple and intuitive, commonly used …
A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve
Amongst all the multilevel thresholding techniques, standard histogram based thresholding
approaches are very impressive for bi-level thresholding. But, it is not effective to select …
approaches are very impressive for bi-level thresholding. But, it is not effective to select …
Optimal multilevel thresholding using bacterial foraging algorithm
PD Sathya, R Kayalvizhi - Expert Systems with Applications, 2011 - Elsevier
The conventional multilevel thresholding methods are efficient for bi-level thresholding.
However, they are computationally expensive extending to multilevel thresholding since …
However, they are computationally expensive extending to multilevel thresholding since …
A novel method for multilevel color image segmentation based on dragonfly algorithm and differential evolution
L Xu, H Jia, C Lang, X Peng, K Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Multilevel thresholding is a simple and powerful image segmentation method that has
received widespread attention in recent years. However, the accuracy and stability of …
received widespread attention in recent years. However, the accuracy and stability of …