Image Brightness Extraction and Uniformity Assessment
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
This MATLAB-based implementation performs image brightness extraction and evaluates brightness uniformity. The process employs various image processing algorithms: histogram equalization enhances image brightness by redistributing pixel intensities across the full dynamic range, while optical flow algorithms assess brightness uniformity by analyzing spatial intensity variations. Filtering algorithms (such as Gaussian or median filters) smooth brightness distributions to improve assessment accuracy. Key MATLAB functions include histeq() for histogram equalization, opticalFlowFarneback() for motion-based uniformity analysis, and imgaussfilt() for Gaussian filtering. These methods enable comprehensive analysis of brightness characteristics and quantitative evaluation of uniformity through metrics like standard deviation or coefficient of variation across image regions.
- Login to Download
- 1 Credits