现代信息科技2025，Vol.9Issue(6)：126-129,134,5.DOI:10.19850/j.cnki.2096-4706.2025.06.024
基于改进的MSR和γ-CLAHE的骶髂关节CT图像增强算法
Sacroiliac Joint CT Image Enhancement Algorithm Based on Improved MSR and γ-CLAHE
闫建红 1李佳欣1
作者信息
- 1. 太原师范学院 计算机科学与技术学院,山西 晋中 030619
- 折叠
摘要
Abstract
To address the issues of poor contrast and unclear image edges in CT images caused by factors such as individual differences among patients with sacroiliac joint diseases,an improved method combining Multi-Scale Retinex(MSR)and Contrast-Limited Adaptive Histogram Equalization(CLAHE)is designed to enhance sacroiliac joint CT images.Firstly,bilateral filtering is used to denoise the sacroiliac joint CT images.Then,the images are processed using the CLAHE algorithm with Gamma correction to enhance image contrast.And it uses the Retinex algorithm which takes the combined weighted of guided filtering and Gaussian filtering as the center-surround function to process the images,so as to enhance edge information.Finally,the two types of processed images are weighted and fused to obtain the final effect images.Experimental results show that this algorithm significantly improves image entropy,contrast,and peak signal-to-noise ratio compared to traditional algorithms.关键词
骶髂关节CT图像/Retinex/CLAHE/图像增强Key words
sacroiliac joint CT image/Retinex/CLAHE/image enhancement分类
信息技术与安全科学引用本文复制引用
闫建红,李佳欣..基于改进的MSR和γ-CLAHE的骶髂关节CT图像增强算法[J].现代信息科技,2025,9(6):126-129,134,5.
