阴影检测方法研究——基于背景缩减的阴影检测算法

Research on Shadow Detection Methods—Based on Subtraction of Background Algorithm

近年来,人们越来越关注到阴影在高分辨率遥感影像和实时监控影像中所起到的不利影响,同时认识到阴影作为物体的属性,能够反映出基本数据所不能表达的内容,因此,精确并快速地检测提取图像中的阴影在实践中具备重大作用。本文从阴影的基本性质开始,介绍阴影的分类、光谱性质、具体实践应用等,并分析目前先进的阴影检测算法中存在的利弊问题。最后提出一种基于背景缩减的阴影检测算法。

In recent years,people pay more and more attention to the shadows in images of high-resolution remote sensing and real-time monitoring.At the same time,they realize that shadows,as one property of objects,can reflect some information which cannot be detected from the basic data.Therefore,accurate and rapid detection and extraction of shadows in images plays a vital role in practice.This article be gins with the basic properties of shadow,and introduces the classifications,optical characteristics and specific practice of shadow,then ana lyzes the advantages and disadvantages of current advanced algorithm of shadow detection.Finally it proposes another algorithm based on the background subtraction.