Abstract
The purpose of medical image enhancement methods is to obtain the optimized medical images through image enhancement, thereby helping to obtain more detailed information from the images, further making more objective diagnosis and formulating more comprehensive treatment plants, which will improve the accuracy of clinical diagnosis to a certain extent. After introducing the widely used medical image enhancement methods, including traditional image enhancement methods, improved image enhancement methods, combined image enhancement methods and deep learning methods, their principle, advantages and disadvantages are analyzed and summarized. Finally, it is pointed out that image enhancement methods should be combined while retaining their advantages and emphasizing simplification and efficiency to effectively improve the image quality and enhance the applicability.
Cite
CITATION STYLE
Shashi B. Rana, S. (2011). A Review of Medical Image Enhancement Techniques for Image Processing. International Journal of Current Engineering and Technology, 5(2), 1282–1286. https://doi.org/10.14741/ijcet/22774106/5.2.2015.121
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.