1) Decimation-free
无抽样
1.
Design of decimation-free directional filter bank and its application in medical image enhancement
无抽样方向滤波器组的设计及其在医学图像增强中的应用
2.
Objective: Aiming at enhancing weak edges of images and minimizing image noises not existed in classical methods, we present a decimation-free directional filter banks, and use them to enhance medical images.
目的:针对传统的图像增强算法中存在弱边缘增强效果差、同时噪声抑制较弱等问题,本文提出的一种无抽样方向滤波器组,并将其用在医学图像增强中。
2) unbiased sampling
无偏抽样
1.
To deal with the scalable and fast unbiased sampling problems in unstructured P2P systems, a sampling method based on multi-peer adaptive random walk (SMARW) is proposed.
针对非结构化P2P系统中可扩展的快速无偏抽样问题,提出了一种基于多个peer自适应随机行走的抽样方法SMARW。
3) sample disorderly
无顺序抽样
4) Nonresponse sample
无回答抽样
5) sampling without replacement
无放回抽样
6) undecimated wavelet transform
无抽样小波变换
1.
Texture classification based on undecimated wavelet transform and MCE training;
基于无抽样小波变换和MCE训练的纹理分类
2.
A new approach for detecting and removing haze from panchromatic high-resolution remote sensing images based on undecimated wavelet transform is proposed.
针对全色波段遥感影像提出了一种基于无抽样小波变换的薄云去除算法。
补充资料：无偏
1.不偏颇。
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