scholarly journals An Edge Detection Algorithm of Moving Object Based on Background Modeling and Active Contour Model

2013 ◽  
Author(s):  
Bo Wang ◽  
Kun Zhang ◽  
Liang Shi ◽  
Huihui Zhong
Keyword(s):  
Edge Detection ◽  
Active Contour ◽  
Active Contour Model ◽  
Detection Algorithm ◽  
Background Modeling ◽  
Moving Object ◽  
Edge Detection Algorithm ◽  
Contour Model ◽  
Object Based

scholarly journals An Edge Detection Algorithm of Moving Object Based on Background Modeling and Active Contour Model

2013 ◽  
Vol 765-767 ◽  
pp. 2393-2398 ◽  
Author(s):  
Bo Wang ◽  
Kun Zhang ◽  
Liang Shi ◽  
Hui Hui Zhong
Keyword(s):  
Edge Detection ◽  
Active Contour ◽  
Moving Objects ◽  
Active Contour Model ◽  
Sparse Matrix ◽  
Detection Algorithm ◽  
Background Modeling ◽  
Moving Object ◽  
Contour Model ◽  
Seed Points

A novel algorithm based on background modelling and active contour model is proposed for moving object edge detection. Firstly, it uses the background modeling to complete moving object detection, then it uses quad-tree decomposition method to contain the corresponding to the foreground image, through the data distribution density of the sparse matrix, calculates the seed points corresponding to the regions which are containing the moving object. Finally, starting from these seed points, it executes the active contour model in parallel to complete the multiple moving objects edge detection. Experimental results show that the proposed algorithm can effectively obtain the object outlines of multi-moving objects and the edge detection results are close to the judgment of the human visual, parallel contour extraction makes our algorithm has good real-time.

A Novel Flame Edge Detection Algorithm via A Novel Active Contour Model

2016 ◽  
Vol 9 (9) ◽  
pp. 275-282 ◽  
Author(s):  
Wanli Feng ◽  
Ying Li ◽  
Shangbing Gao ◽  
Yunyang Yan ◽  
Jianxun Xue
Keyword(s):  
Edge Detection ◽  
Active Contour ◽  
Active Contour Model ◽  
Detection Algorithm ◽  
Edge Detection Algorithm ◽  
Contour Model

An Image Segmentation Method of Underwater Targets Based on Active Contour Model

2014 ◽  
Vol 511-512 ◽  
pp. 457-461
Author(s):  
Tao Liu ◽  
Lei Wan ◽  
Xing Wei Liang
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Active Contour Model ◽  
Signal To Noise Ratio ◽  
Detection Algorithm ◽  
Segmentation Method ◽  
Contour Model ◽  
Underwater Targets ◽  
Underwater Target ◽  
Images Processing

The underwater images are disturbed with low signal to noise ratio and edge blur, because there are the light scattering and absorption effects. If the traditional thresholding method is used directly to segment underwater images, it will usually lead to be less effective to process underwater images. An image segmentation method of underwater target based on active contour model was proposed in this paper. Firstly, using Canny edge detection algorithm to detect the edges of the original image to obtain the information of a crude outline, then the algorithm based on C-V active contour model to segment underwater target images was addressed. The images processing results based on threshold segmentation method and C-V model method were compared. Experiments demonstrate the effectiveness of the proposed algorithm for underwater targets images segmentation.

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