CAJ | 학술논문

在分析目标红外图像特征的基础上,利用山峰聚类对密度大样本的快速聚类特点,提出了一种基于山峰聚类的弱目标区域生长分割方法.该方法首先将二维图像在x和y方向分别进行投影并以此为样本构造数据网格,再采用改进的山峰聚类算法进行聚类,将求出的聚类中心作为种子点进行区域生长得到分割结果.实验结果表明,与传统方法比较,所提方法能自动选取种子点,投影后数据作为样本可有效提高运算速度,并能取得良好的分割效果.
재분석목표홍외도상특정적기출상,이용산봉취류대밀도대양본적쾌속취류특점,제출료일충기우산봉취류적약목표구역생장분할방법.해방법수선장이유도상재x화y방향분별진행투영병이차위양본구조수거망격,재채용개진적산봉취류산법진행취류,장구출적취류중심작위충자점진행구역생장득도분할결과.실험결과표명,여전통방법비교,소제방법능자동선취충자점,투영후수거작위양본가유효제고운산속도,병능취득량호적분할효과.
With the analysis of the features of infrared image, an infrared weak target segmentation method based on mountain clustering was presented. First, the original image was projected to x and y coordination to construct dataset and used as sample to cluster. Then based on the datasets, the improved mountain clustering algorithm was implemented, and the clustering centers were employed as the seeds in region growth, and at last the final segmentation was acquired. Experimental results show that the proposed method outperforms the traditional approach and it can provide satisfactory segmentation result.