Two-dimensional minimum local cross-entropy thresholding based on co-occurrence matrix
F Nie, C Gao, Y Guo, M Gan - Computers & Electrical Engineering, 2011 - Elsevier
This paper introduces a novel image segmentation method that performs histogram
thresholding on an image with consideration to spatial information. The spatial information is …
thresholding on an image with consideration to spatial information. The spatial information is …
Optimized multi threshold brain tumor image segmentation using two dimensional minimum cross entropy based on co-occurrence matrix
The present chapter proposes an automatic segmentation method that performs multilevel
image thresholding by using the spatial information encoded in the gray level co-occurrence …
image thresholding by using the spatial information encoded in the gray level co-occurrence …
[PDF][PDF] Detection of oil spills in SAR images using threshold segmentation algorithms
Identification of potential oil spills on Synthetic Aperture Radar (SAR) satellite images is a
complex process. Oil companies, as well as the coast guard have tested a whole range of …
complex process. Oil companies, as well as the coast guard have tested a whole range of …
Multi-threshold segmentation with exponential entropy based on co-occurrence matrix and intelligent optimization algorithm
J Ai, J Fan - Proceedings of the 2023 6th International Conference …, 2023 - dl.acm.org
The co-occurrence matrix is a way to describe the spatially relevant information of an image.
The image thresholding method based on the co-occurrence matrix has its advantages over …
The image thresholding method based on the co-occurrence matrix has its advantages over …
A modified gray level co-occurrence matrix based thresholding for object background classification
A Dash, P Kanungo, BP Mohanty - Procedia Engineering, 2012 - Elsevier
Object background classification is the basic problem of object tracking in the computer
vision area. Thresholding is the simplest approach to separate object from the background …
vision area. Thresholding is the simplest approach to separate object from the background …
Square Distance Symmetric Co‐occurrence Matrix Thresholding Method Based on Relative Homogeneity
H Zhang, J Fan - Chinese Journal of Electronics, 2020 - Wiley Online Library
We studied a novel image thresholding method using symmetric co‐occurrence matrix
probability information, in which, the relative homogeneity characteristics of the segmented …
probability information, in which, the relative homogeneity characteristics of the segmented …
Minimum square distance thresholding based on asymmetrical co-occurrence matrix
H Zhang, Q Zhi, F Yang, J Fan - Proceedings of the Fifth Euro-China …, 2019 - Springer
In thresholded image segmentation, correct and adequate extraction of pixel distribution
information is the key. In this paper, asymmetrical gray transition co-occurrence matrix is …
information is the key. In this paper, asymmetrical gray transition co-occurrence matrix is …
Minimum square distance thresholding method applying gray-gradient co-occurrence matrix
H Zhang, Q Zhi, F Yang - International Journal of Knowledge …, 2020 - content.iospress.com
In image thresholding segmentation, gray level of pixels is the basic element to describe
images. Besides, the gradient information of pixels is also a key feature to represent image …
images. Besides, the gradient information of pixels is also a key feature to represent image …