图像区域生长分割算法研究

Image Segmentation Algorithm Based on Region Growing

图象处理技术的蓬勃发展,给越来越多的学科带来图像处理的需求。彩色图像处理这一技术是一种新兴的学科领域,这也是在以后的科学发展中占有重要地位的学科。该文介绍了当下图像分割算法的情况,参考了传统的一些图像分割方法,在区域生长,阈值分割,边缘分割,特征分割等方法的基础上,利用像素局部相似性的特征,建立了颜色直方图,对基于种子区域生长的分割算法进行分析研究,使得彩色图像的分割效果得以改善。而实验最终表明了本文中的算法对于初始种子点的选取适应性以及鲁棒性更强。

Development of image processing technology makes more and more subjects need image processing.Color image processing technique is a new discipline,and it will occupy an important position in the later scientific development.In this papcr,we introduced some current situation of image segmentation algorithm.we refer to some traditional image segmentation methods,such as regional grow,threshold segmentation,edge segmentation,character segmentation.The partial similarity characteristic of pixels are used to build color histogram and analysis image segmentation algorithm based on seed region growing that makes the effect of color image is improved.The experimental results show the algorithm in this paper for the initial seed point selection of adaptability and more robust.