Article Details

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.

Keywords

sacroiliac joint CT image; Retinex; CLAHE; image enhancement

References

1. [1] Li Jicheng, Xie Kai, Ruan Ningjun, etc Medical image enhancement algorithm based on curvelet transform [J]. Computer Engineering and Design, 2017, 38 (1): 187-191
2. [2] Geng Xiaofen A review of research on low light image enhancement algorithms [J]. Shanxi Electronic Technology, 2022 (6): 86-89
3. [3] Wang Hongfei, Ma Shiqing, Min Lei, etc Enhanced lung CT images based on image segmentation and total variation [J]. China Laser, 2022, 49 (20): 163-170
4. [4] Fang Danyang, Fu Qingqing, Wu Aiping Foggy image enhancement based on adaptive dynamic range CLAHE [J]. Advances in Laser and Optoelectronics, 2023, 60 (4): 150-157
5. [5] PETRO A B，SBERT C，MOREL J-M. Multiscale Retinex [J].Image Processing Online，2014，4：71-88.
6. [6] Huang Yunhu, Tuerhongjiang Abudukelimu, Liu Fangyuan, etc Medical image enhancement combining à trous algorithm and Retinex algorithm [J]. Practice and Understanding of Mathematics, 2017, 47 (9): 198-203
7. [7] HE W，WU Q，LI S. Medical X-Ray Image Enhancement Based on Wavelet Domain Homomorphic Filtering and CLAHE [C]//2016 International Conference on Robots & Intelligent System (ICRIS).Zhangjiajie：IEEE，2016：249-254.
8. [8] Rao Wei, Bi Zhenbo, Tan Yike, etc Low light ship image enhancement using homomorphic filtering and MSR algorithm [J]. Ship Science and Technology, 2024, 46 (1): 152-157
9. [9] Xu Jiaqi, Chen Mingyu Research on Image Enhancement Algorithm for Aluminum Mold Ceiling Samples Based on CLAHE [J]. Modern Electronic Technology, 2024, 47 (3): 39-42
10. [10] Yan Tao, Hu Xiaoping, Peng Xiangqian, etc Ampoule image enhancement by integrating MSR and improving CLAHE [J]. Automation and Instrumentation, 2024, 39 (5): 84-88+93
11. [11] SHARMA R，KAMRA A. A Review on CLAHE Based Enhancement Techniques [C]//2023 6th International Conference on Contemporary Computing and Informatics (IC3I).Gautam Buddha Nagar：IEEE，2023，6：321-325.
12. [12] HADDADI Y R，MANSOURI B，KHODJA F Z I.A Novel Medical Image Enhancement Algorithm based on CLAHE and Pelican Optimization [J].Multimedia Tools and Applications，2024，83（42）：90069-90088.
13. [13] Rao Wei, Bi Zhenbo, Tan Yike, etc Low light ship image enhancement using homomorphic filtering and MSR algorithm [J]. Ship Science and Technology, 2024, 46 (1): 152-157
14. [14] Ma Minhui, Wang Hongru, Wang Jia Underwater image enhancement algorithm based on improved MSRCR-CLAHE fusion [J]. Infrared Technology, 2023, 45 (1): 23-32
15. [15] Ge Junchao, Wang Lipeng Research on low light image enhancement of coal mines based on adaptive Retinex algorithm [J]. Metal Mines, 2024 (8): 152-157
16. [16] Wang Shaoquan Research on Low Light Video Image Enhancement Technology [D]. Lanzhou: Lanzhou Jiaotong University, 2020
17. [17] Zhou Fei, Jia Zhenhong, Yang Jie, etc Medical image enhancement algorithm based on improved Gamma correction in shear wave domain [J]. Optoelectronics and Laser, 2017, 28 (5): 566-572
18. [18] Wang Zijun, Luo Yuanyi, Jiang Shangzhi, etc Improved Adaptive Infrared Image Enhancement Algorithm Based on Guided Filtering [J]. Spectroscopy and Spectral Analysis, 2020, 40 (11): 3463-3467
19. [19] Zhao Minghua, Wen Yichun, Du Shuangli, etc Low light image enhancement based on illumination and scene texture attention map [J]. Chinese Journal of Image and Graphics, 2024, 29 (4): 862-874

About the authors

Yan Jianhong (1972-), female, Han ethnicity, from Taiyuan, Shanxi, professor, PhD, research direction: machine learning; Corresponding author: Li Jiaxin (1998-), male, Han ethnicity, from Zhangjiakou, Hebei Province, currently pursuing a master's degree in image processing.