计算机科学 ›› 2023, Vol. 50 ›› Issue (6A): 220300265-7.doi: 10.11896/jsjkx.220300265
安子恒, 徐超, 冯博, 韩俱宝
AN Ziheng, XU Chao, FENG Bo, HAN Jubao
摘要: 为了解决医学内窥镜图像中存在的光照不均匀、黏膜下组织血管模糊、对比度低等问题,文中提出了一种新颖的内窥镜图像增强算法。该方法分为两部分,第一部分采用象限剪裁直方图伽马校正的方法实现亮度增强,首先对亮度通道的直方图进行分象限剪裁得到平滑的累积分布函数(CDF),然后利用截断CDF的方式来控制伽马参数的大小;第二部分基于融合通道先验增强图像的对比度和清晰度,首先利用离散小波变换融合图像的绿色通道和红色通道,得到细节丰富的图层,用于生成图像形成模型(IFM)的初始透射图,然后通过提出的理想函数模型校正初始透射图,得到清晰的图像,最后结合CLAHE实现组织和血管的对比度增强。在实验室自建的MEDS数据集上,将所提方法和其他几种现有方法进行主观和客观分析,结果表明所提方法在提高血管和组织对比度的同时,避免了图像过度增强。
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