利用光学小波变换对血红细胞识别的Matlab仿真

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。

Matlab Simulation of Red Blood Cells Recognition Using Optics Wavelet Transform

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.