基于ROI提取的多目标图像水平集分割  

Multi-objects Image Level Set Segmentation Based on ROI Extraction

作　　者：何毅[1] 陆淑娟[2] 梅雪[1] 

机构地区：[1]南京工业大学自动化与电气工程学院,南京210009 [2]南京工业大学电子与信息工程学院,南京210009

出　　处：《计算机工程》2009年第23期214-216,共3页Computer Engineering

基　　金：江苏省"六大人才高峰"基金资助项目(07E024)

摘　　要：针对包含多个目标或目标灰度与背景灰度接近的图像分割问题,借鉴人类视觉系统的关注机制和多分辨性,提出一种多尺度框架下基于感兴趣区域提取的图像水平集分割方法。对原图像小波变换的低频分量图应用显著性特征提取出感兴趣区域,将图像域分成多个感兴趣子区域和一个背景子区域,在各目标子区域中,采用C-V模型方法进行曲线演化,并对各子区域分割结果进行合成。仿真结果标明,该算法能有效分割多目标图像。Aiming at the problem that the segmentation of image with multiple objects more than two different mean intensities is a nodus, an approach for image segmentation is presented based on the multi-scale analysis and extraction of Region Of Interest（ROI）, which is put forward according to the attention mechanism and multiresolution of human vision system. Wavelet transform is used to get the low frequency sub-image, and low frequency domain is divided into multiple sub-regions, and then C-V model is employed for curve evolution in each sub-region. Simulation results demonstrate the feasibility for segmentation on multiple objects and low contrast image of the proposed method.

关 键 词：多目标分割 水平集 感兴趣区 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]