Survey over image thresholding techniques and quantitative performance evaluation
We conduct an exhaustive survey of image thresholding methods, categorize them, express
their formulas under a uniform notation, and finally carry their performance comparison. The …
their formulas under a uniform notation, and finally carry their performance comparison. The …
Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur's, Otsu and Tsallis functions
In this paper, a modified artificial bee colony (MABC) algorithm based satellite image
segmentation using different objective function has been presented to find the optimal …
segmentation using different objective function has been presented to find the optimal …
Segmentation of X‐ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures
P Iassonov, T Gebrenegus… - Water resources research, 2009 - Wiley Online Library
Nondestructive imaging methods such as X‐ray computed tomography (CT) yield high‐
resolution, three‐dimensional representations of pore space and fluid distribution within …
resolution, three‐dimensional representations of pore space and fluid distribution within …
Image thresholding using Tsallis entropy
MP De Albuquerque, IA Esquef, ARG Mello - Pattern Recognition Letters, 2004 - Elsevier
Image analysis usually refers to processing of images with the goal of finding objects
presented in the image. Image segmentation is one of the most critical tasks in automatic …
presented in the image. Image segmentation is one of the most critical tasks in automatic …
Automated image segmentation using improved PCNN model based on cross-entropy
M Yi-de, L Qing, Q Zhi-Bai - Proceedings of 2004 International …, 2004 - ieeexplore.ieee.org
The pulse coupled neural network (PCNN) is a new neural network that was developed and
formed in the 1990's. The key point of a PCNN is the modulated coupling mechanism, while …
formed in the 1990's. The key point of a PCNN is the modulated coupling mechanism, while …
Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm
In this paper, optimal thresholds for multi-level thresholding in an image are obtained by
maximizing the Tsallis entropy using cuckoo search algorithm. The method is considered as …
maximizing the Tsallis entropy using cuckoo search algorithm. The method is considered as …
Adaptive thresholding: A comparative study
With the growth of image processing applications, image segmentation has become an
important part of image processing. The simplest method to segment an image is …
important part of image processing. The simplest method to segment an image is …
Multilevel minimum cross entropy threshold selection based on particle swarm optimization
PY Yin - Applied mathematics and computation, 2007 - Elsevier
Thresholding is one of the popular and fundamental techniques for conducting image
segmentation. Many thresholding techniques have been proposed in the literature. Among …
segmentation. Many thresholding techniques have been proposed in the literature. Among …
A multilevel color image thresholding scheme based on minimum cross entropy and differential evolution
We propose a novel multi-level thresholding method for unsupervised separation between
objects and background from a natural color image using the concept of the minimum cross …
objects and background from a natural color image using the concept of the minimum cross …
Multilevel image thresholding based on 2D histogram and maximum Tsallis entropy—a differential evolution approach
Multilevel thresholding amounts to segmenting a gray-level image into several distinct
regions. This paper presents a 2D histogram based multilevel thresholding approach to …
regions. This paper presents a 2D histogram based multilevel thresholding approach to …