An adaptive and selective segmentation model based on local and global image information

Author(s):  
Jiaojiao Li ◽  
Jiayan Wang ◽  
Shurong Li ◽  
Xueqin Wang
2015 ◽  
Vol 159 ◽  
pp. 172-185 ◽  
Author(s):  
Zuoyong Li ◽  
Yong Cheng ◽  
Kezong Tang ◽  
Yong Xu ◽  
David Zhang

Author(s):  
Mouri Hayat ◽  
Fizazi Hadria

<p>Global and local image information is crucial for accurate segmentation of images with intensity inhomogeneity valuable minute details and multiple objects with various intensities. We propose a region-based active contour model which is able to utilize together local and global image information. The major contribution of this paper is to expand the LIF model which is includes only local image infofmation to a local and global model. The introduction of a new local and global signed pressure force function enables the extraction of accurate local and global image information and extracts multiple objects with several intensities. Several tests performed on some synthetic and real images indicate that our model is effective as well as less sensitivity to the initial contour location and less time compared with the related works. </p><p><em> </em></p>


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