Gaussian probability bi‐histogram equalization for enhancement of the pathological features in medical images-Reference-Cited by-同舟云学术

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Gaussian probability bi‐histogram equalization for enhancement of the pathological features in medical images

Published:2019-02-25 Issue:2 Volume:29 Page:132-145
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Kuo Chung‐Feng Jeffrey¹^ORCID,Wu Han‐Cheng¹

Affiliation:

1. Graduate Institute of Automation and ControlNational Taiwan University of Science and Technology Taipei City Taiwan, ROC

Funder

National Taiwan University of Science and Technology-Mackay鵄 Memorial Hospital

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22307

Reference43 articles.

1. Review of brain MRI image segmentation methods

2. Clinical significance of a solitary ground-glass opacity (GGO) lesion of the lung detected by chest CT

3. Segmentation and optical flow estimation in cardiac CT sequences based on a spatiotemporal PDM with a correction scheme and the Hermite transform

4. Contrast enhancement dynamic histogram equalization for medical image processing application

5. Medical imaging correction: A comparative study of five contrast and brightness matching methods

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