1) Iris enhancement
虹膜图像增强
2) 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。
3) image enhancement
图像增强
1.
X-ray medical image enhancement and histogram processing methods based on Matlab;
基于Matlab的X线医学图像增强与直方图处理方法
2.
Medical image enhancement based on neural dynamics;
基于神经动力学的医学图像增强技术
3.
A new image enhancement method for retinal vascular images based on morphology and matched filters;
基于数学形态学和匹配滤波的视网膜血管图像增强方法
4) image enhancing
图像增强
1.
An image enhancing method based on mathematical morphology;
基于数学形态学的图像增强方法
2.
Parallel Image Enhancing Research Based on PDE;
基于全变分模型的并行图像增强研究
3.
Image Enhancing and Extracting Core Point of Fingerprint;
指纹图像增强与中心点的提取
5) image enhance
图像增强
1.
Realization of image enhance with FFT under VC~(＋＋);
在VC~(++)环境下用快速付里叶变换实现图像增强
2.
A lot of researchers usually focus on the effectiveness of different image enhancement algorithms in given circumstances.
灰度图像增强在数字图像处理中有着广泛的应用,不少研究者通常研究特定环境下不同图像增强算法效果的优劣,而缺乏对同一图像采用不同算法多重处理的研究。
3.
It can be got more ideal image enhance outcome by intensity expand (improve a contrast ratio), adaptive filter (dislodge “salt”noise), discrete wavelet transform (border strengthening) and combining with several methods of image enhance arithmetic than using image disposing so.
本文提出一种多重图像增强方法,通过改进应用灰度扩展(提高对比度)、自适应中值滤波(去除“盐”噪声)、离散小波变换(边缘增强)等多种图像增强算法,可得到理想的图像增强结果。
补充资料：图像增强
图像增强 image enhancement
将原来不清晰的图像变得清晰或强调某些感兴趣的特征，抑制不感兴趣的特征，使之改善图像质量、丰富信息量，加强图像判读和识别效果的图像处理方法。
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