Experimental results show that the method improves the precision of classification effectively and reduces the complexity in training. The overall classification precision reaches 90%.
实验表明，该方法有效地提高了分类准确性，降低了训练的复杂度，分类准确率可达90%。
The precision of classification rule is decided by the construction of classification algorithm.
分类规则的精度取决于分类算法的构造。
The results show that the split-and-expand algorithm can effectively segment texture images, and its precision of classification is superior to that of the split-and-merge algorithm.
实验结果表明，分开-扩张方法能有效地分割纹理图像，其分割精度优于分开合并方法。
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