Application and research of vehicle image segmentation based on the improved snake model

2015 ◽  
pp. 233-236
Keyword(s):  
Image Segmentation ◽  
Snake Model

Underwater Sonar Image Segmentation Based on Snake Model

2013 ◽  
Vol 448-453 ◽  
pp. 3675-3678
Author(s):  
Jun Peng Wu ◽  
Hai Tao Guo
Keyword(s):  
Image Segmentation ◽  
Greedy Algorithm ◽  
Echo Signal ◽  
Constraint Forces ◽  
Shape Accuracy ◽  
Snake Model ◽  
Sonar Image ◽  
Sonar Images ◽  
Underwater Target ◽  
Detection And Recognition

The underwater sonar image segmentation has been a topic of research for decades. Underwater sonar image is based on the interaction by the echo signal of sound toward the underwater objects or targets. Because of the serious noises polution and the dim target edge, the contrast and resolution of sonar images are obtaind in a decreased quanlity. This paper proposes an improved snake model that focuses on solving underwater target detection and recognition. According to the traditional snake model, it is defined as an energy minimizing spline which is influenced by external constraint forces, and it can guide the image forces to pull toward features, such as lines or edges. Compared with the traditional snake model, this snake model greedy algorithm can converge to the contours more quickly and more stably, especially in complex underwater environments. Examination of the results shows that using snake model greedy algorithm has a more clear shape accuracy.

Improved Snake Model for Fast Image Segmentation

2006 ◽  
Author(s):  
Chi-Cheng Ting ◽  
Jhan-Syuan Yu ◽  
Jiun-Shuen Tzeng ◽  
Jung-Hua Wang
Keyword(s):  
Image Segmentation ◽  
Snake Model

scholarly journals An early vision-based snake model for ultrasound image segmentation

2000 ◽  
Vol 26 (2) ◽  
pp. 273-285 ◽  
Author(s):  
Chung-Ming Chen ◽  
Henry Horng-Shing Lu ◽  
Yu-Chen Lin
Keyword(s):  
Image Segmentation ◽  
Ultrasound Image ◽  
Early Vision ◽  
Snake Model ◽  
Ultrasound Image Segmentation
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