一种掩膜图像窗口的快速灰度分布标准化算法  

A Rapid Algorithm for Grayscale Distribution Normalization of Image Windows with Mask

作　　者：邵平[1] 朱俊岭[1] 黄海滨[2] 

机构地区：[1]肇庆学院计算机学院,广东肇庆526061 [2]玉林师范学院计算机科学与工程学院,广西玉林537000

出　　处：《计算机技术与发展》2014年第2期229-233,共5页Computer Technology and Development

基　　金：广西教育面上项目(201012MS185);广东省人才引进基金(2050205);肇庆学院教授启动基金(611271);肇庆学院教研项目(JY201105;JGZB201201)

摘　　要：图像窗口模式匹配前常需进行灰度分布标准化预处理,但由于某些模式识别场合需要掩去图像窗口的一些无关区域,常见的灰度分布标准化处理快速算法不适用。应用广义积分图像,实现了一种任意掩膜的图像窗口灰度分布标准化快速算法。掩膜的形状具有对称性时,算法的计算速度还可进一步提高。实验表明,该算法能提高掩膜图像窗口灰度均值、方差的计算速度1倍以上,可实现多尺度目标检测中对大量掩膜图像窗口的快速灰度分布标准化处理。It is often needed to normalize grayscale distribution of image windows before template matching, but sometimes a few regions of these windows should be eliminated by mask, normal rapid algorithms would be not suitable. As extended integral image is applied, an algorithm is presented for grayscale distribution normalization of image windows with mask of any shape. When the shape of mask is symmetric, the computing time can be further reduced. Experimental results indicate that the algorithm is twice or more as fast as the traditional algorithm. It is especially suitable for object detection with multi resolution, when a large number of windows with mask are needed to be processed with grayscale distribution normalization.

关 键 词：广义积分图像 掩膜图像窗口 灰度分布标准化 快速算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]