摘要
图像分割是图像处理的重要手段,它的目的是把感兴趣的目标从背景及无关区域中分离,从而获取与目标相关的特征结构等其他有用信息。随着新技术的层出不穷,图像处理技术已成为一个跨学科领域,由于图像本身的模糊性,很多学者将模糊技术运用到图像处理中。文中给出一种图像分割的算法,首先对图像进行滤波,以减小噪声,然后再进行两次模糊增强预处理,最后进行阈值分割得到结果。与简单阈值分割算法作对比实验,验证了本方案的有效性。
Image segmentation is an important tool in image analysis and processing. The aim is to separate interested objects from the background and irrelevant region, so that obtain more useful information such as structure, characteristics related to the objectives. With the endless slteam of new technologies,image processing technology has become an interdisciplinary field. Many scholars make use of fuzzy techniques in image processing in recent years. In this paper,give a segmentation method based on existing fuzzy technology. First the image is filtered to reduce noise,than do fuzzy enhancement twice,finally obtain segmentation results. The simulation results show this algorithm gets better performance.
出处
《计算机技术与发展》
2012年第12期161-163,共3页
Computer Technology and Development
基金
国家自然科学基金(61070234)
江苏省高校自然科学基金(04KJB110097
08KJB520003)
关键词
模糊技术
图像增强
图像分割
fuzzy technology
image enhancement
image segmentation
