文件名称:BPN-based-iris-Recongition
介绍说明－－下载内容均来自于网络，请自行研究使用
method for automatic blood vessel detection based on mathematical morphology and coye filter. The proposed method performs certain preprocessing steps on the gray-scale of the input image to enhance image quality. The blood vessels are highlighted using by using contrast enhancement and average filter. The blood vessel in image is finally detected using coye filter. The performance of the proposed method was uated. The results confirm that the proposed method detects blood vessels quite efficiently and accurately. The comparison with other state of the art methods shows that the proposed method outperforms the other methods.-method for automatic blood vessel detection based on mathematical morphology and coye filter. The proposed method performs certain preprocessing steps on the gray-scale of the input image to enhance image quality. The blood vessels are highlighted using by using contrast enhancement and average filter. The blood vessel in image is finally detected using coye filter. The performance of the proposed method was uated. The results confirm that the proposed method detects blood vessels quite efficiently and accurately. The comparison with other state of the art methods shows that the proposed method outperforms the other methods.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
BPN based iris Recongition\CreateDatabase.m
..........................\iris.m
..........................\recog.m
..........................\test\1.bmp
..........................\....\2.bmp
..........................\....\3.bmp
..........................\....\4.bmp
..........................\testing.m
..........................\.rain\1.bmp
..........................\.....\10.bmp
..........................\.....\11.bmp
..........................\.....\12.bmp
..........................\.....\13.bmp
..........................\.....\14.bmp
..........................\.....\15.bmp
..........................\.....\16.bmp
..........................\.....\17.bmp
..........................\.....\18.bmp
..........................\.....\19.bmp
..........................\.....\2.bmp
..........................\.....\20.bmp
..........................\.....\3.bmp
..........................\.....\4.bmp
..........................\.....\5.bmp
..........................\.....\6.bmp
..........................\.....\7.bmp
..........................\.....\8.bmp
..........................\.....\9.bmp
..........................\train.mat
..........................\training.m
..........................\test
..........................\train
BPN based iris Recongition
..........................\iris_bpn.fig
..........................\iris_bpn.m