中文摘要：

提出一种基于影像颜色散度和纹理信息的森林影像分割方法。对输入影像进行颜色量化，然后利用量化得到的索引矩阵计算各像素的颜色散度；基于多分辨率策略进行纹理分析，通过区域生长形成初始分割区域；统计各区域Laws纹理能量，合并过分割区域。实验表明，森林影像的分割结果与人的主观视觉感知具有良好的一致性，识别出的地面和树木可为匹配和三维建模提供可靠依据。

英文摘要：

A new approach for segmentation of the forest image was proposed. Firstly input image color was quantized. Then the resulted index class map was used to calculate divergence of color, and texture was analyzed by multi-resolution, and a region growing method was exploited to form the initial segmented regions. Finally over-segmented regions were merged according to the statistical Laws texture energy of each region. The experimental results demonstrate that the forest image segmentation results of the proposed approach hold favorable consistency in terms of human perception. The recognized trees and ground can offer dependable data for image matching and 3D modeling.