Next Article in Journal
Online Bearing Fault Diagnosis Based on Packet Loss Influence-Inspired Retransmission Mechanism
Next Article in Special Issue
A Novel Method of Chinese Herbal Medicine Classification Based on Mutual Learning
Previous Article in Journal
The Generalized Alpha Exponent Power Family of Distributions: Properties and Applications
Previous Article in Special Issue
Scale and Background Aware Asymmetric Bilateral Network for Unconstrained Image Crowd Counting
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Medical Endoscope Image Enhancement Method Based on Improved Weighted Guided Filtering

1
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2
School of Medical Information and Engineering, Southwest Medical University, Luzhou 646000, China
3
College of Photoelectronic Engineering, Chongqing University of Posts and Telecommunication, Chongqing 400065, China
4
School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
*
Authors to whom correspondence should be addressed.
Mathematics 2022, 10(9), 1423; https://doi.org/10.3390/math10091423
Submission received: 28 February 2022 / Revised: 13 April 2022 / Accepted: 18 April 2022 / Published: 23 April 2022
(This article belongs to the Special Issue Computer Vision and Pattern Recognition with Applications)

Abstract

In clinical surgery, the quality of endoscopic images is degraded by noise. Blood, illumination changes, specular reflection, smoke, and other factors contribute to noise, which reduces the quality of an image in an occluded area, affects doctors’ judgment, prolongs the operation duration, and increases the operation risk. In this study, we proposed an improved weighted guided filtering algorithm to enhance endoscopic image tissue. An unsharp mask algorithm and an improved weighted guided filter were used to enhance vessel details and contours in endoscopic images. The scheme of the entire endoscopic image processing, which included detail enhancement, contrast enhancement, brightness enhancement, and highlight area removal, is presented. Compared with other algorithms, the proposed algorithm maintained edges and reduced halos efficiently, and its effectiveness was demonstrated using experiments. The peak signal-to-noise ratio and structural similarity of endoscopic images obtained using the proposed algorithm were the highest. The foreground–background detail variance–background variance improved. The proposed algorithm had a strong ability to suppress noise and could maintain the structure of original endoscopic images, which improved the details of tissue blood vessels. The findings of this study can provide guidelines for developing endoscopy devices.
Keywords: contrast enhancement; detail enhancement; endoscopic image; tissue structure; secondary weighted guided filtering contrast enhancement; detail enhancement; endoscopic image; tissue structure; secondary weighted guided filtering

Share and Cite

MDPI and ACS Style

Zhang, G.; Lin, J.; Cao, E.; Pang, Y.; Sun, W. A Medical Endoscope Image Enhancement Method Based on Improved Weighted Guided Filtering. Mathematics 2022, 10, 1423. https://doi.org/10.3390/math10091423

AMA Style

Zhang G, Lin J, Cao E, Pang Y, Sun W. A Medical Endoscope Image Enhancement Method Based on Improved Weighted Guided Filtering. Mathematics. 2022; 10(9):1423. https://doi.org/10.3390/math10091423

Chicago/Turabian Style

Zhang, Guo, Jinzhao Lin, Enling Cao, Yu Pang, and Weiwei Sun. 2022. "A Medical Endoscope Image Enhancement Method Based on Improved Weighted Guided Filtering" Mathematics 10, no. 9: 1423. https://doi.org/10.3390/math10091423

APA Style

Zhang, G., Lin, J., Cao, E., Pang, Y., & Sun, W. (2022). A Medical Endoscope Image Enhancement Method Based on Improved Weighted Guided Filtering. Mathematics, 10(9), 1423. https://doi.org/10.3390/math10091423

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop