Cervical Cancer image enhancement

This dataset contains the MATLAB code used to implement the image enhancement techniques described in our paper on cervical cancer detection. The approach combines the use of Lucas polynomials, power-law transformation, and Geometric Function Theory for image enhancement. The scripts allow for replication of the results, including parameter tuning and performance metrics (SSIM, PSNR, NIQE and MAE). Future researchers can modify these scripts for further experiments and validation.

本数据集收录了用于实现我们发表于宫颈癌检测相关论文中的图像增强技术的MATLAB代码。该方法结合卢卡斯多项式（Lucas polynomials）、幂律变换（power-law transformation）与几何函数论（Geometric Function Theory）以完成图像增强。所提供的脚本可支持研究结果的复现，涵盖参数调优以及结构相似性指数（Structural Similarity Index, SSIM）、峰值信噪比（Peak Signal-to-Noise Ratio, PSNR）、自然图像质量评估器（Natural Image Quality Evaluator, NIQE）、平均绝对误差（Mean Absolute Error, MAE）四类性能指标的评测。后续研究者可对这些脚本进行修改，以开展进一步的实验与验证工作。