Edge detection based on computational ghost imaging with structured illuminations

被引：31
作者：
Yuan, Sheng [1 ]
Xiang, Dong [1 ]
Liu, Xuemei [1 ]
Zhou, Xin [2 ]
Bing, Pibin [1 ]
机构：
[1] North China Univ Water Resources & Elect Power, Dept Informat & Engn, Zhengzhou 450046, Henan, Peoples R China
[2] Sichuan Univ, Dept Optoelect Sci & Technol, Chengdu 610065, Sichuan, Peoples R China
来源：
OPTICS COMMUNICATIONS | 2018年 / 410卷
基金：
中国国家自然科学基金;
关键词：
Edge detection; Computational ghost imaging; Interference system;
D O I：
10.1016/j.optcom.2017.10.016
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Edge detection is one of the most important tools to recognize the features of an object. In this paper, we propose an optical edge detection method based on computational ghost imaging (CGI) with structured illuminations which are generated by an interference system. The structured intensity patterns are designed to make the edge of an object be directly imaged from detected data in CGI. This edge detection method can extract the boundaries for both binary and grayscale objects in any direction at one time. We also numerically test the influence of distance deviations in the interference system on edge extraction, i.e., the tolerance of the optical edge detection system to distance deviation. Hopefully, it may provide a guideline for scholars to build an experimental system. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：350 / 355
页数：6
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