Unsupervised color texture segmentation using active contour model and oscillating information

2017 ◽  
Author(s):  
Jinpeng Zhang ◽  
Guodong Wang ◽  
Zhenkuan Pan ◽  
Baoxiang Huang
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Texture Segmentation ◽  
Contour Model ◽  
Color Texture

Active Contour Model with Edge Flow Vector for Texture Segmentation

2015 ◽  
Vol 781 ◽  
pp. 511-514
Author(s):  
Tanunchai Boonnuk ◽  
Sanun Srisuk ◽  
Thanwa Sripramong
Keyword(s):  
Medical Imaging ◽  
Active Contour ◽  
Active Contour Model ◽  
Texture Segmentation ◽  
Gradient Vector Flow ◽  
Gradient Vector ◽  
Texture Image ◽  
Contour Model ◽  
Flow Vector ◽  
Edge Flow

In this paper, we propose effective method for texture segmentation using active contour model with edge flow vector. This technique was applied from previous active contour model that uses gradient vector flow as external force. It was observed that our method provided better results for texture segmentation while a traditional active contour model and active contour model with gradient vector flow were not capable to be used with texture image. Thus, texture image such as medical imaging can be identified using active contour model with edge flow vector.

Texture Segmentation of Natural Images Based on Active Contour Model

2012 ◽  
Vol 546-547 ◽  
pp. 553-558
Author(s):  
Zhan Wang ◽  
Yun Hui Yan ◽  
De Wei Dong ◽  
Ke Chen Song
Keyword(s):  
Level Set ◽  
Active Contour ◽  
Active Contour Model ◽  
Texture Synthesis ◽  
Texture Features ◽  
Texture Segmentation ◽  
Natural Images ◽  
Contour Model ◽  
Signal Features ◽  
Environmental Image

To segment complex texture natural environment images; the first, the texture features of natural images should be analysed and the texture features should be extracted; The second, texture images segmengtation can be achieved by using Mumford-Shah active contour model, this segmentation model can better process fuzzy, default boundary, and this model can be solved by level set method. This method can express well complex texture signal features of natural images. Through making texture segmentation experiment for standard texture synthesis image and natural environmental image, its results show that the texture segmentation based on Mumford-Shah active contour model can segment natural images.

Parametric active contour model using Gabor balloon energy for texture segmentation

2015 ◽  
Vol 10 (2) ◽  
pp. 351-358 ◽  
Author(s):  
Payman Moallem ◽  
Homa Tahvilian ◽  
S. Amirhassan Monadjemi
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Texture Segmentation ◽  
Contour Model

Nonlocal active contour model for texture segmentation

2016 ◽  
Vol 76 (8) ◽  
pp. 10991-11001 ◽  
Author(s):  
Jingge Lu ◽  
Guodong Wang ◽  
Zhenkuan Pan
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Texture Segmentation ◽  
Contour Model
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