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- Title
Study on medical image enhancement based on IFOA improved grayscale image adaptive enhancement.
- Authors
Xie, Yuxi; He, Yonggui; Cheng, Aibin; Zhang, Junwei
- Abstract
In allusion to deficiencies of traditional medical image enhancement algorithms such as poor applicability, large calculated amount and manual parameter setting and local optimum problem of FOA algorithm, this paper introduces chaos theory into FOA algorithm for improvement based on good global optimum searching performance of fruit fly optimization algorithm and optimizes normalized incomplete Beta function with IFOA for medical image enhancement. The experimental result shows that the improved FOA algorithm can highlight image features effectively, improve visual effect of images and efficiency, avoid invariability of manual parameter adjustment, configure best parameters of normalized incomplete Beta function automatically while guaranteeing best image quality and achieve adaptive enhancement of medical images.
- Subjects
IMAGE enhancement (Imaging systems); DIAGNOSTIC imaging; MATHEMATICAL optimization; COMPUTER algorithms; CHAOS theory
- Publication
Multimedia Tools & Applications, 2016, Vol 75, Issue 22, p14367
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-016-3358-6