Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss
- Title
- Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss
- Creator
- Roy S.; Bhalla K.; Patel R.
- Description
- This tutorial demonstrates a novel mathematical analysis of histogram equalization techniques and its application in medical image enhancement. In this paper, conventional Global Histogram Equalization (GHE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Histogram Specification (HS) and Brightness Preserving Dynamic Histogram Equalization (BPDHE) are re-investigated by a novel mathematical analysis. All these HE methods are widely employed by researchers in image processing and medical image diagnosis domain, however, this has been observed that these HE methods have significant limitation of data loss. In this paper, a mathematical proof is given that any kind of Histogram Equalization method is inevitable of data loss, because any HE method is a non-linear method. All these Histogram Equalization methods are implemented on two different datasets, they are, brain tumor MRI image dataset and colorectal cancer H and E-stained histopathology image dataset. Pearson Correlation Coefficient (PCC) and Structural Similarity Index Matrix (SSIM) both are found in the range of 0.6-0.95 for overall all HE methods. Moreover, those results are compared with Reinhard method which is a linear contrast enhancement method. The experimental results suggest that Reinhard method outperformed any HE methods for medical image enhancement. Furthermore, a popular CNN model VGG-16 is implemented, on the MRI dataset in order to prove that there is a direct correlation between less accuracy and data loss. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
- Source
- Multimedia Tools and Applications, Vol-83, No. 5, pp. 14363-14392.
- Date
- 2024-01-01
- Publisher
- Springer
- Subject
- Contrast enhancement of medical images; Contrast Limited Adaptive Histogram Equalization (CLAHE); Correlation co-efficient; Histogram Equalization (HE) techniques; Image analysis
- Coverage
- Roy S., School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Bhalla K., Washington University School of Medicine in St. Louis, St. Louis, 63110, MO, United States; Patel R., Department of Electronics and Communication Engineering, ABES Institute of Technology, Ghaziabad, India
- Rights
- Restricted Access
- Relation
- ISSN: 13807501; CODEN: MTAPF
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Roy S.; Bhalla K.; Patel R., “Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/13295.