An Efficient Method of Dynamic Texture Segmentation Based Level Set

2009 ◽  
Author(s):  
Hongyan Quan
Keyword(s):  
Level Set ◽  
Efficient Method ◽  
Texture Segmentation ◽  
Dynamic Texture

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.

An efficient level set model with self-similarity for texture segmentation

2017 ◽  
Vol 266 ◽  
pp. 150-164 ◽  
Author(s):  
Lixiong Liu ◽  
Shengming Fan ◽  
Xiaodong Ning ◽  
Lejian Liao
Keyword(s):  
Level Set ◽  
Texture Segmentation ◽  
Self Similarity ◽  
Efficient Level ◽  
Level Set Model

A high performance hardware accelerator for dynamic texture segmentation

2015 ◽  
Vol 61 (10) ◽  
pp. 639-645 ◽  
Author(s):  
João P.F. Barbosa ◽  
Antonyus P.A. Ferreira ◽  
Rodrigo C.F. Rocha ◽  
Erika S. Albuquerque ◽  
Josivan R. Reis ◽  
...  
Keyword(s):  
High Performance ◽  
Texture Segmentation ◽  
Hardware Accelerator ◽  
Dynamic Texture
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