Brightfield images of rank-based transformation (RBT)
Description
The Rank-Based Transformation (RBT) method combines histogram expansion and normalization to enhance image contrast. It works by ranking each pixel's intensity in ascending order, and then redistributing these ranks evenly across a specified intensity range. Pixels with identical intensities share the same rank, ensuring consistent mapping. This process produces an output image with uniformly spaced intensity levels, improving contrast while preserving relative intensity relationships. For more details, please check the included README.md or visit the GitHub for RBT algorithm (https://github.com/nordlinglab/RBT).
Files
Steps to reproduce
How to Apply RBT in Your Work: For MATLAB Users, call the RBT.m function from your main script. For Python Users, call the RBT.py function from your main script. Please make sure to specify the path to your input image and the directory where you want to save the output images in your main code. For more details, please check the included README.md or visit the GitHub for RBT algorithm (https://github.com/nordlinglab/RBT).
Institutions
Categories
Funding
Ministry of Science and Technology
MOST 108-2811-E-006-046
Ministry of Science and Technology
MOST-109-2224-F-006-003
Ministry of Science and Technology
MOST-110-2222-E-006-010
Ministry of Science and Technology
MOST-110-2326-B-006-001-MY3
Ministry of Science and Technology
MOST-111-2221-E-006-186