
Active contour model for satellitale image combining local and global region based approach
Author(s) -
Mouri Hayat,
Hadria Fizazi
Publication year - 2019
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v15.i1.pp247-257
Subject(s) - image (mathematics) , artificial intelligence , computer vision , active contour model , segmentation , computer science , image segmentation , sensitivity (control systems) , function (biology) , pattern recognition (psychology) , engineering , electronic engineering , evolutionary biology , biology
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.