noisy image

Regular Geographic Objective Recognition in noisy Image Based on Radon Transform

基于Radon变换的噪声图象内规则形状目标的识别

Application of non-linear fuzzy SOM classification method to noisy image fusion

非线性模糊化SOM图像分类的方法在含噪声图像融合中的应用

During the digital image processing, image signal is contaminated inevitably by noisy signal due to limitation of imaging methodology and external disturbance.

在数字图像处理中，由于受到成像方法和条件的限制以及外界干扰，图像信号不可避免地要受到噪声信号污染。

A Novel Edge Extraction Algorithm with Detail Information in Noisy Image

一种新的保留细节信息的噪声图像边缘提取算法

Generally speaking, Monte Carlo is the only choice to correctly compute the problem of global illumination in the field of realistic image synthesis. However, the image produced by a Monte Carlo based global illumination algorithm is noisy when not using a large enough number of samples.

一般来说，蒙特卡罗方法是真实感图形领域中准确计算全局光照问题的唯一选择，但由该方法生成的图像当采样量不足时，会存在有大量的噪声。

In the template-based SAR ( synthetic aperture radar) target recognition, a key problem is how to ( segment) a target image from a noisy SAR image to form a high quality target template.

在基于模板匹配的合成孔径雷达（synthetic Aperture Radar，SAR）目标识别中，一个关键问题就是如何从带有杂波的SAR图像中将目标正确分割出来，以便形成高质量的模板。

Noisy Image Moving Point Object Recognition Using the Second-Order Neural Network

用多层前馈神经元网络实现运动点目标图像识别

Our new algorithm smooths noisy image with two phases. In the first stage, new algorithm substitutes iterated scheme based on PDE with adaptive Wiener filtering in the wavelet domain and gains good effect by adjusting related parameters.

偏微分方程方法可认为是滤波器的迭代去噪，新算法的第一个阶段采用小波域自适应维纳滤波作为滤波基，通过调节参数取得了良好的效果。

Edge detection for noisy image based on rough set theory

基于粗集理论的含噪图像边缘检测

A Hybrid Method for Edge Detection in Noisy Image

一种综合的有噪图象边缘提取方法

The Study on the Edge Detection of Noisy Image by Fractal

分形方法用于有噪图像边缘检测的研究