| 基于灰度图像的阴影检测算法 |
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| 引用本文： | 张笑微,王月琴. 基于灰度图像的阴影检测算法[J]. 兵工自动化, 2007, 26(7): 45-47 |
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| 作者姓名： | 张笑微 王月琴 |
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| 作者单位： | 西南科技大学,信息工程学院,四川,绵阳,621010;西南科技大学,信息工程学院,四川,绵阳,621010 |
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| 摘 要： | 基于灰度图像的阴影检测算法,通过快速归一化互相关函数计算方法其复杂度,并采用背景减法与帧差法相结合方法提取运动前景.其步骤包括提取运动前景及检测运动目标的阴影.该方法与基于HSV模型的阴影检测算法相比,实验表明:在不需要任何的颜色信息的情况下,基于灰度图像的阴影检测算法能较好检测出阴影.
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| 关 键 词： | 灰度图像 阴影检测 归一化互相关函数 HSV模型 |
| 文章编号： | 1006-1576（2007）07-0045-03 |
| 收稿时间： | 2007-04-05 |
| 修稿时间： | 2007-04-052007-06-08 |
Shadow Detection Algorithm in Gray Degree Image |
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| ZHANG Xiao-wei,WANG Yue-qin. Shadow Detection Algorithm in Gray Degree Image[J]. Ordnance Industry Automation, 2007, 26(7): 45-47 |
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| Authors: | ZHANG Xiao-wei WANG Yue-qin |
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| Abstract: | Shadow detection algorithm based on grayscale video sequences, decreases complexity through the computational method of fast normalized cross correlation (FNCC), and uses the method of combination of background subtraction and two consecutive frames subtraction to extract the moving prospect. Its steps include extracting the moving prospect and detecting the moving target shadow. Comparing this method with the shadow detection algorithm based on HSV model, experimental results showed that proposed algorithm could detect the shadow accurately and only used gray information of video sequences |
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| Keywords: | Gray image Shadow detection Normalized cross correlation (NCC) HSV model detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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