激光与光电子学进展, 2020, 57 (2): 021101, 网络出版: 2020-01-03   

基于高通滤波鬼成像的边缘检测方法 下载: 1068次

Edge Detection Based on High-Pass Filter Ghost Imaging
作者单位
中北大学信息与通信工程学院, 山西 太原 030051
摘要
针对传统鬼成像方法恢复图像差导致的边缘检测困难,提出了一种建立在高通滤波基础上的鬼成像改进方法。随机生成的灰度图在被输入空间光调制器前先经高通滤波处理,通过关联运算恢复出未知物体不同方向上的高频分量,然后根据所使用的滤波方法以相应的重构方法恢复出边缘图像,实现在无需预知物体信息的前提下对未知物体的边缘检测。实验以Kirsch滤波和非下采样轮廓波变换(NSCT)为例,表明了相比于传统的鬼成像边缘检测方法,该算法得到的边缘图像在主观上平滑性更好,清晰度更高,在客观上其边缘信噪比和均方误差指标均有所优化。
Abstract
With traditional ghost imaging methods, the detection of the edge resulting from a poorly recovered image is difficult; therefore, this paper proposes an improved high-pass-filter-based ghost imaging method. Randomly generated grayscale images are subjected to a high-pass filter before being input into a spatial light modulator. The high-frequency components in different directions of the unknown object are recovered by the correlation operation. Subsequently, the edge image is restored by the corresponding reconstruction method according to the filtering method used and edge detection of the unknown object without pre-known object information is realized. The Kirsch filter and nonsubsampled contourlet transform (NSCT) are considered as examples to show the performance of the algorithm. Compared with traditional edge-detection ghost imaging methods, the edge image obtained using the proposed algorithm has subjectively better smoothness and higher definition. The edge signal-to-noise ratio and mean square error are optimized.

陶勇, 王肖霞, 杨风暴. 基于高通滤波鬼成像的边缘检测方法[J]. 激光与光电子学进展, 2020, 57(2): 021101. Tao Yong, Wang Xiaoxia, Yang Fengbao. Edge Detection Based on High-Pass Filter Ghost Imaging[J]. Laser & Optoelectronics Progress, 2020, 57(2): 021101.

本文已被 4 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!