دورية أكاديمية

Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features

التفاصيل البيبلوغرافية
العنوان: Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features
المؤلفون: Hui Huang, Xi’an Feng, Jionghui Jiang
المصدر: Journal of Electrical and Computer Engineering, Vol 2017 (2017)
بيانات النشر: Wiley, 2017.
سنة النشر: 2017
المجموعة: LCC:Computer engineering. Computer hardware
مصطلحات موضوعية: Computer engineering. Computer hardware, TK7885-7895
الوصف: According to the pros and cons of contourlet transform and multimodality medical imaging, here we propose a novel image fusion algorithm that combines nonlinear approximation of contourlet transform with image regional features. The most important coefficient bands of the contourlet sparse matrix are retained by nonlinear approximation. Low-frequency and high-frequency regional features are also elaborated to fuse medical images. The results strongly suggested that the proposed algorithm could improve the visual effects of medical image fusion and image quality, image denoising, and enhancement.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2090-0147
2090-0155
Relation: https://doaj.org/toc/2090-0147; https://doaj.org/toc/2090-0155
DOI: 10.1155/2017/6807473
URL الوصول: https://doaj.org/article/1ae99d955f6441709f73d07c08d0cec4
رقم الأكسشن: edsdoj.1ae99d955f6441709f73d07c08d0cec4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20900147
20900155
DOI:10.1155/2017/6807473