1) removing iris image noise
虹膜图像噪声处理
2) iris image noise
虹膜图像噪声
1.
New method for iris image noise detecting
一种新颖的虹膜图像噪声检测方法
3) iris image preprocessing
虹膜图像预处理
1.
To overcome the deficiencies of the existing recognition algorithms, this thesis has studied the iris image preprocessing and .
虹膜图像预处理是虹膜识别系统的基础和关键，预处理的好坏直接影响着下面的特征提取过程和匹配过程。
2.
In this paper, by systematic analysis and finishing the work of our predecessors on the iris recognition results obtained on the basis of iris image preprocessing, iris feature extraction and coding, pattern matching and classification of the three thematic design of the algorithm for iris recognition technology to do an in-depth research.
本文在系统地分析和整理前人对虹膜识别工作所获得的成果的基础上,就虹膜图像预处理、虹膜特征提取与编码对虹膜识别技术的算法做了深入研究。
4) iris image
虹膜图像
1.
Iris image compression algorithm based on symmetry and fractal coding
基于对称分形的虹膜图像压缩算法
2.
A kind of iris image acquisition system is proposed based on floating-point DSP chip TMS320VC6711.
提出了一种基于红外光源的、以浮点DSP芯片TMS320VC6711为核心的虹膜图像采集系统,介绍了其工作原理、软硬件设计与实现。
3.
According to characteristics of the iris image and the principle of the maximum entropy,we first get the maximal edge of iris by translating the image into another which consists of three gradations;then apply the Daugman algorithm to locating iris.
针对虹膜图像自身的特点,先利用最大熵的方法把虹膜图像分成3个灰度等级,使虹膜最大限度的呈现出内外边界,然后在此基础上运用Daugman提出的虹膜定位算法能更有效地定位虹膜。
6) image noise
图像噪声
1.
Image noise analysis of micro-motion measurement based on computer micro-vision;
计算机微视觉微运动测量系统图像噪声分析
2.
Processing of image noise based on mathematical morphology;
基于数学形态学的图像噪声处理
3.
Two Improved Algorithms to Generate Gaussian Image Noise;
高斯图像噪声实现的两种改进
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条