The threshold methods of image segmentation are surveyed in this article, especially those based on the gray level histogram.

本文对现有的各种图像阈值分割方法进行综述，重点介绍了基于图像灰度直方图的阈值分割方法。

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First selects texture features based on the gray level co-occurrence Matrix and then EBP-OP neural network is used as a classifier. The experimental results show that this method is very effective.

首先运用灰度共生矩阵提取图像的纹理特征，然后用EBP - OP算法对提取的纹理特征进行分类，并在此基础上实现一组纹理图像的检索，实验证明这种方法是有效的。

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This paper presents an algorithm of acquiring depth map using linear approximation based on gray level information. Using the algorithm, surface reconstruction can be easily realized.

该文提出了一种用线性逼近方法、基于灰度信息从图像获取物体深度信息，从而实现物体三维表面重建的算法。

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