Title: Active contour model for image segmentation based on salient fitting energy

Authors: Yingyu Ji; Xiaoliang Jiang

Addresses: College of Mechanical Engineering, Quzhou University, Quzhou, 324000, China; Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, 324000, China ' College of Mechanical Engineering, Quzhou University, Quzhou, 324000, China; Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, 324000, China; College of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China

Abstract: Although segmentation of image is very important in disease diagnosis, there still exist some difficult problems to precise segmentation, such as noise and intensity inhomogeneity. Aiming at these issues, a novel level set algorithm based on salient fitting energy is presented. We firstly transform original image into a new modality which utilises greyscale change characteristics of a local area. Secondly, a data term of salient fitting energy can be constructed by solving the deviation between new modality and input images in a neighbourhood. In addition, distance regularised term is introduced in the proposed method to remove the re-initialisation process. The experiment on a lot of medical and synthetic images demonstrate that the proposed method has good segmentation ability on the part of visual perception.

Keywords: active contour; segmentation; salient fitting energy; level set.

DOI: 10.1504/IJICT.2021.117048

International Journal of Information and Communication Technology, 2021 Vol.19 No.2, pp.219 - 230

Received: 18 Jan 2020
Accepted: 31 Mar 2020
Published online: 13 Aug 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article