CAJ | 학술논문

为了克服返波管太赫兹连续波成像系统所获取图像存在的对比度低、干涉条纹强等缺陷，较好地区分出目标和背景，避开不规则干涉条纹的干扰，采用基于模糊局部信息C均值的聚类算法用于目标检测，并针对太赫兹图像性质，对其中的隶属度函数进行了改进。结果表明，新的聚类分割算法适用于具有不规则条纹干扰下的太赫兹连续波图像，能较好地提取出图像中的目标，较经典图像聚类算法具有更好的目标检测精度。
위료극복반파관태혁자련속파성상계통소획취도상존재적대비도저、간섭조문강등결함，교호지구분출목표화배경，피개불규칙간섭조문적간우，채용기우모호국부신식C균치적취류산법용우목표검측，병침대태혁자도상성질，대기중적대속도함수진행료개진。결과표명，신적취류분할산법괄용우구유불규칙조문간우하적태혁자련속파도상，능교호지제취출도상중적목표，교경전도상취류산법구유경호적목표검측정도。
In order to overcome the backwards , such as low contrast and strong interference fringes of the images captured by terahertz ( THz) continuous wave imaging system based on backward wave oscillator , to detect target objects from background and avoid the disturbance of the irregular interference fringes , the cluster method based on C-means of fuzzy local information was used to target detection and the membership function was improved so that it was suitable to terahertz images.Experiment results show that the proposed clustering algorithm can detect target objects from terahertz images corrupted with irregular interference fringes and has better accuracy than the classic image clustering algorithm .