Fast algorithm for selective image segmentation model

Selective image segmentation model aims to separate a specific object from its surroundings. To solve the model, the common practice to deal with its non-differentiable term is to approximate the original functional. While this approach yields to successful segmentation result, however the segmentat...

Full description

Bibliographic Details
Main Authors: Chen, K. (Author), Jumaat, A.K (Author)
Format: Article
Language:English
Published: Science Publishing Corporation Inc 2018
Subjects:
Online Access:View Fulltext in Publisher
View in Scopus
LEADER 01516nam a2200229Ia 4500
001 10.14419-ijet.v7i4.33.23481
008 220120s2018 CNT 000 0 und d
020 |a 2227524X (ISSN) 
245 1 0 |a Fast algorithm for selective image segmentation model 
260 0 |b Science Publishing Corporation Inc  |c 2018 
490 1 |t International Journal of Engineering and Technology(UAE) 
650 0 4 |a Active contour/snake 
650 0 4 |a Computational mathematics 
650 0 4 |a Fast algorithm 
650 0 4 |a Image processing 
650 0 4 |a Selective segmentation 
856 |z View Fulltext in Publisher  |u https://doi.org/10.14419/ijet.v7i4.33.23481 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059223806&doi=10.14419%2fijet.v7i4.33.23481&partnerID=40&md5=082b5584561a8e5411b656b45b1468f0 
520 3 |a Selective image segmentation model aims to separate a specific object from its surroundings. To solve the model, the common practice to deal with its non-differentiable term is to approximate the original functional. While this approach yields to successful segmentation result, however the segmentation process can be slow. In this paper, we showed how to solve the model without approximation using Chambolle's projection algorithm. Numerical tests show that good visual quality of segmentation is obtained in a fast-computational time. © 2018 Authors. 
700 1 0 |a Chen, K.  |e author 
700 1 0 |a Jumaat, A.K.  |e author 
773 |t International Journal of Engineering and Technology(UAE)