提出了一种新的自然纹理图像生成方法，对传统的纹理图像统计模型和结构模型进行了改进，能够用来模拟和生成多种自然景物的纹理图像。
A novel method for textured image synthesis is presented which improves the traditional structure model and statistical model and can be used to simulate and generate natural textured scene.
论文的主要工作包括：首先，作为全文研究的理论基础，深入分析了SAR图像杂波的统计模型。
The major contents in this paper include: Firstly, as the theory foundation, the SAR clutter statistical model is studied in depth.
该文提出了一种新的基于视觉侧抑制模型和连通域统计的阈值图像分割算法。
This paper proposes a novel algorithm about image segmentation based on the vision lateral inhibition model and statistics of consecutive fields.
针对离散小波变换具有平移变化性和弱方向性的特性，本文提出了一种基于双树复小波变换(DT- CWT)统计模型的医学图像纹理检索方法。
Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.
提出一种通用的融合基于可变形模型及区域特征统计的自动图像分割方案。
A general purpose automatic image segmentation scheme that integrates deformable models and region statistics was proposed.
然后在多光谱图像融合中，提出了一种新的融合方法，将相关约束进一步引入到统计融合模型中。
In multi-spectral image fusion, a new method is developed, which introduces correlative restriction into the statistical model.
分形布朗函数是随机分形的数学模型，对于图像纹理所具有的统计特性可以被较好的反映出来。
The fractal Brown function is the stochastic fractal mathematical model that can better reflect the statistic characteristics of image texture.
根据模仿人类视觉模型，基于文字图像的统计模式识别方法是文字识别取得瞩目进展的基础。
Based on the theory of Visual thinking of human, more excellent progresses for Chinese character recognition have been achieved by the statistical pattern recognition method on the character image.
建立了图像采集系统分析模型，计算机仿真分析图像采集系统端到端信息率与采样目标统计特性的关系。
The analysis model of image gathering system is proposed. The relationship of system end-to-end information rate with target statistical characteristics is examined by computer simulation.
为了更有效地利用图像的局部特征恢复被噪声感染的图像，基于图像局部纹理方向概率统计模型，提出一种针对混合噪声的非线性滤波算法。
In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.
利用HMM的统计特性，对HMM模型结构进行改动，使其成为人脸语音动画合成中语音特征到图像特征的映射模型。
This paper takes advantage of HMM's statistic characters. With a little modification on HMM structure, it gets a mapping model from speech to image.
本文着力探索新的边缘检测与图像恢复方法，并基于元胞自动机(ca)模型和统计力学模型对图像边缘检测与图像恢复方法进行研究。
The study of new methods of edge detection and image restoration is showed in this paper, which based on the model of Cellular Automata (ca) and Statistical Mechanics.
研究图像小波系数间的统计相关性并建立适当的模型，可以显著提高图像处理的质量。
The quality of image processing can be significantly improved by exploiting the correlation among image wavelet coefficients and modeling the statistics for these coefficients.
本文对作为常见遥感图像背景存在的云背景红外天空图像的统计特性进行了深入的研究，并对它们建立了相应的模型。
This thesis gives a thorough research of infrared cloudy sky images often seen as backgrounds of remote sensing images and sets up the corresponding models.
最后根据SAR图像的统计性质，利用基于混合模型估计的分类后验概率将初始分割结果逐尺度进行细化得到SAR图像的最终分割。
Third, the initial segmentation is refined scale by scale to get the final segmentation of the SAR image based on the posterior probability of classification which is estimated by the mixture model.
MSTAR数据的统计分析结果表明该模型对于高分辨力的SAR图像有较好的适用性。
The statistical analysis on real image from MSTAR data sets show the distribution has good performance on fitting high resolution SAR images.
基于图像在小波域的马尔可夫随机场模型(MRF)结构，结合SAR图像中相干斑噪声的统计特性，本文提出了一种新的小波域相干斑抑制方法。
Integrating the statistical characteristics of speckle noise in SAR images with wavelet-domain Markov random field (MRF) structure of images, a new wavelet-domain spec.
首先介绍了斑点噪声产生机理、模型和统计特征，对常用的图像滤波器进行了分析。
The arising mechanism, model and statistical characteristics of speckle noise are described and the popular filters are analyzed.
首先介绍了斑点噪声产生机理、模型和统计特征，对常用的图像滤波器进行了分析。
The arising mechanism, model and statistical characteristics of speckle noise are described and the popular filters are analyzed.
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