scholarly journals Consistent estimation of the max-flow problem: Towards unsupervised image segmentation

2020 ◽  
pp. 1-1
Author(s):  
Ashif Sikandar Iquebal ◽  
Satish T.S. Bukkapatnam
Keyword(s):  
Image Segmentation ◽  
Flow Problem ◽  
Consistent Estimation ◽  
Unsupervised Image Segmentation

Automatic feature selection for unsupervised image segmentation

2000 ◽  
Vol 77 (8) ◽  
pp. 1230-1232 ◽  
Author(s):  
W. Al-Nuaimy ◽  
Y. Huang ◽  
A. Eriksen ◽  
V. T. Nguyen
Keyword(s):  
Feature Selection ◽  
Image Segmentation ◽  
Selection For ◽  
Unsupervised Image Segmentation ◽  
Automatic Feature Selection

scholarly journals Image Segmentation Using the EM/MPM Algorithm

2021 ◽  
pp. 618-622
Author(s):  
Hanane DALIMI ◽  
Mohamed AFIFI ◽  
Said AMAR
Keyword(s):  
Image Segmentation ◽  
Estimation Method ◽  
Segmentation Method ◽  
Histogram Method ◽  
Markov Field ◽  
Unsupervised Image Segmentation

In this article we propose to place our work in a Markovian framework for unsupervised image segmentation. We give one of the procedures for estimating the parameters of a Markov field, we limit the work to the EM estimation method and the Posterior Marginal Maximization (MPM) segmentation method. Estimating the number of regions who compones the image is relatively difficult, we try to solve this problem by the K-means Histogram method.

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