摘要
图像分割作为图像处理中最基础的研究领域之一,占有很重要的地位,是大多数图像分析和处理的不可替代并且是首要步骤的一个基础环节,在理论研究和实际应用中都得到了人们广泛指重视,目前已提出了多种不同的图像分割方法,总体上来说这些算法主要建立在基于图像本身的相似性上,在许多应用领域都获得了成功,但是没有一种方法适用于所有的图像。分水岭算法近年来得到比较广泛的应用,此次研究中用基于形态学的分水岭分割方法对图像处理,进行仿真,与其他方法相比可以较好的分割对象。
Image segmentation is one of the most basic research field in image processing, as the digital image processing system front-end algorithm and technology, has played a very important role in image processing is the first step in most image analysis and processing and a basic link can not be replaced, in theory research and practical application have been widely referred to, has proposed a variety of different image segmentation methods, on the whole, these algorithms mainly based on the similarity of the image itself, including the threshold method, region growing method edge detection, fuzzy method and clustering method, these methods in many application fields have been successful, but no method is applicable to all images. The watershed algorithm is widely used in recent years watershed method based on morphology for the simulation of image processing, Compared with other method ,It can better segmentation object.
出处
《电子设计工程》
2014年第10期64-67,共4页
Electronic Design Engineering
关键词
图像分割
相似性
分水岭算法
仿真
形态学
image segmentation
similarity
watershed algorithm
simulation
morphology
