Medical Image Processing using A Machine Vision-based Approach

The information extraction process of medical image, for example heart image from specific camera, is full of complexities and noises. As a result, cost spent on such processing like time and resources is high, especially for large and complex amount of information. This paper uses machine vision-based approach to address the challenges. This approach primarily includes four stages with different algorithms to deal with the medical heart images. Firstly, smoothing algorithm is used to reduce the noise. Secondly, filtering algorithm is used for image analysis so as to identify the target area. Thirdly, further enhancement algorithm is used to figure out the image features within the target area, finding out the basic outline of the image. Eventually, reduction algorithm is utilized to convert the original images into more smooth and precise pictures. Experimental results show that machine vision-based medical image processing algorithm can accurately extract the relevant data and achieve better results, comparing with the traditional image processing method.