基于改进PSO算法的低照度超声图像增强处理

Low illumination ultrasound image enhancement based on Improved PSO Technology

为了改善低照度图像增强处理时影像细节丢失的问题,提出一种低照度超声图像增强处理算法。以非纹理区域特征为主要提取对象,研究其灰度范围对图像信息、伪影的影响。改进后的PSO算法结合分级概率密度函数对直方图均衡化处理参数优化。结合低照度超声图像进行方法验证,结果表明本文方法对图像细节的增强、提高视觉质量和对比度均有好的效果,增强效果优于目前常用方法。

In order to improve the loss of image details in low illumination image enhancement processing,a low illumination ultrasonic image enhancement processing algorithm is proposed.Taking non texture region features as the main extraction object,the influence of its gray range on image information and artifacts is studied.The improved PSO algorithm combines with the hierarchical probability density function to optimize the processing parameters of histogram equalization.Combined with low illumination ultrasonic images,the results show that this method has a good effect on enhancing image details,improving visual quality and contrast,and the enhancement effect is better than the current commonly used methods.