After characters are divided from the raster image, the features of characters are extracted by symmetrical grids and then are inputted into BP neural network for further analysis.

首先对图纸的光栅图像进行字符分离，利用均匀网格方法抽取字符特征，用BP神经网络进行训练和识别。

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Most existing texture segmentation approaches focus on gray texture images, while this paper presents a color texture image segmentation method, which is based on fractal theory and BP neural network.

现有的纹理分割方法大多集中于研究灰度纹理图像，文中提出一种基于分形理论和BP神经网络的彩色纹理图像分割方法。

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At the same time, we used relevance feedback and machine learning used in image retrieval. K-NN, BP neural network and support vector machine classifiers were used in experiments.

同时本文将机器学习和相关反馈结合起来用于图像检索，在实验中使用了K - NN、BP神经网络和支持向量机分类器。

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