Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. A Machine Vision-based Medical Image Processing
  2.1. Step1: Smoothing
  2.2. Step2: Mean Filtering
  2.3. Step 3: Enhancing
  2.4. Step 4: Restoration
 3. Experiments and Discussions
 4. Summary
 References

키워드

저자

• Ying Shen [ Department of Engineering, Xinyu College ]
• Weihua Zhu [ Department of Computer Science, Xinyu College ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605