摘要
图像处理是包含丰富内容和具有广阔应用领域的研究学科。近几年来,作为具有自组织、自学习和联想功能的人工神经网络理论已成功地应用于图像处理的许多方面,神经网络应用于图像处理的主要思路是:把原始图像或经过适当预处理的图像作为网络的输入信号,在网络的输出端得到处理后的图像信号或分类结果。
Image processing can be seen as a large class of imaging technology, emphasizing on the transformation between the images, image processing is a subject with rich content and broad application areas. In recent years, as a selforganizing, self-study and associate function artificial neural network theory has been successfully applied to many aspects of image processing such as image compression, image segmentation, edge detection, image enhancement, image recognition and so on. In general, the main idea of neural network application in image processing is as below： put the original image or an appropriate preprocessing image as the input signal of network, the network output is the result ： processed image signal or classification results.
出处
《中国医学装备》
2010年第7期39-42,共4页
China Medical Equipment
关键词
图像处理
人工神经网络
图像压缩
图像分割
边缘检测
图像增强
Image processing
Artificial neural network
Image compression
Image segmentation
Edge detection
Image enhancement.
作者简介
陈京水，男，（1982-），本科，观就职于山东省济南卫生学校医械学科，从事医疗器械维修技术专业的一线教学工作。
