期刊
PATTERN RECOGNITION LETTERS
卷 24, 期 15, 页码 2525-2535出版社
ELSEVIER
DOI: 10.1016/S0167-8655(03)00098-9
关键词
normalized cross correlation; defect detection; color images; smoothing
The normalized cross correlation (NCC) has been used extensively in machine vision for industrial inspection, but the traditional NCC suffers from false alarms for a complicated image that contains partial uniform regions. In this paper, we study the use of NCCs for defect detection in complicated images. The performance of NCCs in monochrome and color images, and the effect of image smoothing are empirically evaluated. The proposed NCC in a smoothed color image can effectively alleviate false alarms in defect detection applications. (C) 2003 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据