Open AccessFast Algorithm for Selective Image Segmentation Model
Author(s) -
Abdul Kadir Jumaat,
Ke Chen
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.33.23481
Subject(s) - segmentation , segmentation based object categorization , image segmentation , scale space segmentation , artificial intelligence , process (computing) , computer science , differentiable function , image (mathematics) , object (grammar) , computer vision , algorithm , projection (relational algebra) , minimum spanning tree based segmentation , term (time) , pattern recognition (psychology) , mathematics , physics , mathematical analysis , quantum mechanics , operating system
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.