CAJ | 학술논문

提出了一种自适应的阴影检测方法，去除了传统固定阈值阴影检测方法残留的阴影边缘，有效地改善了阴影检测效果。首先采用kmeans聚类、求前景灰度直方图峰值间平均值等方法得到自适应的阈值，在此基础上，计算满足阈值约束的前景像素点，将该点及其8邻域点都作为可去除的阴影点进行标记。最后，去除标记的阴影点及极小面积的前景区域。本文对已有的阴影检测算法进行了改进，加入了自适应的阈值计算方法并去除了原有算法检测后残留的阴影边缘，在对室内及室外视频序列进行的检测中都取得了较好的效果。
제출료일충자괄응적음영검측방법，거제료전통고정역치음영검측방법잔류적음영변연，유효지개선료음영검측효과。수선채용kmeans취류、구전경회도직방도봉치간평균치등방법득도자괄응적역치，재차기출상，계산만족역치약속적전경상소점，장해점급기8린역점도작위가거제적음영점진행표기。최후，거제표기적음영점급겁소면적적전경구역。본문대이유적음영검측산법진행료개진，가입료자괄응적역치계산방법병거제료원유산법검측후잔류적음영변연，재대실내급실외시빈서렬진행적검측중도취득료교호적효과。
This paper presents an adaptive way for shadow detection.The residual shadow edge appearing in fixed thresholds method is eliminated in our algorithm and the detection performance is better.We first get adaptive thresholds using kmeans clus-tering,averaging foreground grey level histogram peak value,etc.Based on the adaptive thresholds,foreground pixels satisfying constraints are calculated.These pixels and their 8 connected pixels are marked as shadow pixels.Finally,we remove all the shadow pixels and small area foreground.In this paper,we propose an improvement to an existing shadow detection algorithm. Adaptive method is added and shadow edge is wiped out.The algorithm works well for both indoor and outdoor sequences.