基于机器视觉的心脏医学图像处理研究

Machine vision-based medical heart image processing methodology

针对医学心脏图像中信息提取过程复杂、信息量大而且信息量处理时间复杂度高,采用机器视觉的方法,提出一种新的心脏图像处理办法,该方法主要通过4个阶段的4个不同算法来处理心脏医学图像。首先采用平滑算法去心脏图像处理,去除噪声;其次采用滤波算法对图像进行分析,找出目标区域;再采用加权增强算法得到目标区域的图像特征,找出图像的基本轮廓;最后采用图像还原算法再建原始心脏图像的彩色图像。实验结果表明,基于机器视觉的心脏医学图像处理算法能够准确提取相关的数据信息,在限定的时间复杂度下得到较好的结果。

Medical heart image information extraction process is full of complex information.As a result,processing time for large and complex amount of information is high.This paper proposes a methodology using machine vision approach,primarily through the four stages with different algorithms to deal with the medical heart images.Firstly,smoothing algorithm is used to reduce the noise.Secondly,filtering algorithm for image analysis is utilized to identify the target area.Thirdly,further enhancement algorithm is used by the target area of the image features,finding out the basic outline of the image.Eventually,restoration algorithm is utilized to build the original heart image into color images.Experimental results show that machine vision-based medical image processing algorithm can accurately extract the relevant data,for a limited time complexity obtained better results.