Removal of object’s shadow algorithm

Masrullizam Mat Ibrahim, Syed Abdul Rahman Al-Attas, Nor Zaidi Harun
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引用次数: 0

Abstract

During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Objectpsila shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this algorithm is divided into three parts; eliminating the surrounding objects of object focused, detecting shadows region and removing the objectpsilas shadow. This algorithm used moving object images to distinguish between object focusing and objects will be eliminated in an image. Support vector machine (SVM) was used to detect the shadow region which classify the image into shadow and non-shadow region. Matlab and Image Processing Toolbox were utilized and OSU-SVM was used as interface SVM to the Matlab environment.
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去除物体阴影的算法
在明亮的白天光线或强照明条件下,阴影会出现,并成为图像中物体的一部分。图像中的目标阴影会给图像处理领域中的目标识别、分割和目标跟踪等重要算法带来问题。去除阴影可以大大提高图像处理的效果。为了解决这一问题,本算法分为三个部分;消除聚焦物体周围的物体,检测阴影区域,去除物体本身的阴影。该算法利用运动物体图像来区分物体聚焦和物体将在图像中被消除。使用支持向量机(SVM)检测阴影区域,将图像分为阴影区域和非阴影区域。利用Matlab和图像处理工具箱,使用OSU-SVM作为与Matlab环境的接口SVM。
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