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.

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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.

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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.

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