Application of graph cut based active contour algorithm for contour extraction

2016 ◽  
Author(s):  
Hongwei Yue ◽  
Keqiang Wang ◽  
Chaojun Dong ◽  
Hong Man ◽  
Lu Cao
Keyword(s):  
Active Contour ◽  
Graph Cut ◽  
Contour Extraction

Development of Active Contour Extraction for Autonomous Vehicle Lane Detection at Outdoor Environment

2001 ◽  
Author(s):  
Kei Odagiri ◽  
Kazuyuki Kobayashi ◽  
Kajiro Watanabe ◽  
Hideo Umino ◽  
Nakaho Numata
Keyword(s):  
Active Contour ◽  
Autonomous Vehicle ◽  
Lane Detection ◽  
Outdoor Environment ◽  
Contour Extraction

Automated contour extraction of mammographic mass shadow using an improved active contour model

2004 ◽  
Vol 1268 ◽  
pp. 882-885 ◽  
Author(s):  
T Nakagawa ◽  
T Hara ◽  
H Fujita ◽  
T Iwase ◽  
T Endo ◽  
...  
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Contour Extraction ◽  
Contour Model

scholarly journals Adaptive Exploration-based Whale Optimization for Image Segmentation Based on Variable Parametric Error

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1209-1218
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Graph Cut ◽  
Fuzzy Entropy ◽  
Major Purpose ◽  
Entropy Maximization ◽  
Low Intensity ◽  
Fem Method ◽  
Contour Graph ◽  
Whale Optimization

Image segmentation is the process of splitting an image into numerous segments. Its major purpose is to change or simplify the image, which could be more significant and simpler to examine. However, it does not execute well while segmenting complex images with non-homogeneous parts. In this paper, a hybrid image segmentation model with the aid of Active Contour and Graph cut techniques is proposed. Moreover, it extracts the mutual information from two adopted segmentation schemes, and subsequently, the high-intensity and low-intensity pixels of resultant images are grouped by Fuzzy Entropy Maximization (FEM) method. A modified optimization algorithm termed as Adaptive Exploration based Whale Optimization (AEW) is used for solving the FEM problem. The performance of the proposed Active contour Graph cut Fuzzy Entropy-based Segmentation(AGFES), (AEW-AGFES) is algorithmically analyzed in terms of various performance measures to substantiate its effectiveness.

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