|本期目录/Table of Contents|

[1]文云,黄晓菁.利用光学小波变换对血红细胞识别的Matlab仿真[J].集美大学学报(自然科学版),2016,21(2):156-160.
 WEN Yun,HUANG Xiao-jing.Matlab Simulation of Red Blood Cells Recognition Using Optics Wavelet Transform[J].Journal of Jimei University,2016,21(2):156-160.
点击复制

利用光学小波变换对血红细胞识别的Matlab仿真(PDF)
分享到:

《集美大学学报(自然科学版)》[ISSN:1007-7405/CN:35-1186/N]

卷:
第21卷
期数:
2016年第2期
页码:
156-160
栏目:
数理科学与信息工程
出版日期:
2016-03-28

文章信息/Info

Title:
Matlab Simulation of Red Blood Cells Recognition Using Optics Wavelet Transform
作者:
文云黄晓菁
(集美大学理学院,福建 厦门 361021)
Author(s):
WEN YunHUANG Xiao-jing
(School of Science,Jimei University,Xiamen 361021,China)
关键词:
血红细胞图像识别联合变换相关器光学小波变换Matlab仿真
Keywords:
red blood cellsimage recognitionjoint-transform correlatoroptics wavelet transformmatlab simulation
分类号:
-
DOI:
-
文献标志码:
A
摘要:
将光学图像识别技术应用于生物目标的探测,用光学小波变换识别多个血红细胞,以提高系统的识别力。在光学联合变换相关器中,通过空间频谱面上的小波滤波可以实现光学小波变换,构建光学小波联合变换相关器。Matlab仿真结果表明,与传统的联合变换相关器相比,由于小波变换的引入,相关峰尖锐,峰噪比明显增强,峰的半宽度显著减小,在多目标识别中不同位移目标不易受干扰,提高了目标探测能力。
Abstract:
In this paper,the optical image recognition technology was applied in biological targets detection,and the optical wavelet transform was used to recognize multiple red blood cells,which lead to improve the systems ability of recognition.In the joint-transform correlator,wavelet transform can be implemented by wavelet filtering at the spectrum plane,and hence the optical wavelet jointtransform correlator can be built.Compared with the classical jointtransform correlator,Matlab simulation results showed that,due to the introduction of the wavelet transform,the correlation peak became sharper,the peak-to-noise ratio was significantly enhanced and the half-width of the peak was greatly reduced.Moreover,in the multi-target recognition,different targets were easily distracted and identifed.The detection ability of this system was improved.

参考文献/References:

-

相似文献/References:

[1]郭宝英,郑思凡.车辆安全例检的图像识别与跟踪定位方法研究[J].集美大学学报(自然科学版),2017,22(6):74.
 GUO Baoying,ZHENG Sifan.Research on Image Recognition and Tracking Method of Vehicle Safety Inspection[J].Journal of Jimei University,2017,22(2):74.
[2]杨俊秀,王荣杰,林安辉,等.基于YOLOv5算法的多尺度小目标船舶识别方法[J].集美大学学报(自然科学版),2024,29(4):344.
 YANG Junxiu,WANG Rongjie,LIN Anhui,et al.Multi-Scale Small Target Ships Recognition Method Based on YOLOv5 Algorithm[J].Journal of Jimei University,2024,29(2):344.

备注/Memo

备注/Memo:
-
更新日期/Last Update: 2016-05-05