双窗目标特征提取算法研究  

A Feature Extraction Algorithm Based on Double Window

作　　者：郭庆昌[1] 何国宝[1] 

机构地区：[1]中国船舶重工集团公司第七一○研究所,湖北宜昌443000

出　　处：《计算机仿真》2009年第12期177-181,共5页Computer Simulation

摘　　要：为了得到更加稳定性和准确性的目标特征,提出了一种双窗目标特征提取算法。首先在目标周围设置两个初始窗,其中小窗作为提出的改进活动轮廓模型的初始曲线;其次根据活动轮廓模型运动规则进行迭代得到目标的轮廓,作为特征提取的内窗.运用加权比例直方图法提取内、外窗的目标特征,根据设定的规则计算目标特征。最后通过实验证明了上述算法相对传统目标特征提取算法能够得到更佳准确的结果。A feature extraction algorithm using double window is proposed for getting stable and accurate object feature. Two windows are set around the object. The small window is regarded as the initialized curve of the proposed improved snake model. The boundary of the object is fitted by an iterative algorithm based on the moving rule of the snake model, which is the inner window. The features in the inner window and outer window are extracted using the weighted histogram. The object feature is gotten based on the rule. The experiment proved that the algorithm can get better result than traditional feature extraction algorithm.

关 键 词：改进活动轮廓模型 双窗 特征提取 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]