| 1. | Texture segmentation with wavelet transform and feature weighting
利用小波变换和特征加权进行纹理分割 |
| 2. | ( 6 ) we have studied the methods of image texture segmentation systematically
6 、基于遥感图像纹理分割方法的研究。 |
| 3. | Texture segmentation of multispectral remote sensing image based on markov random field
基于马尔柯夫随机场的多波段遥感影像纹理分割研究 |
| 4. | Using those features , texture segmentation algorithms are presented and tested on natural images
最后，我们在上述基础上给出了相应的纹理图像分割算法。 |
| 5. | The texture segmentation method which based on the self - adapted texture windows selected is proposed
提出了通过不同的纹理窗口的选择来自适应的完成纹理的分割。 |
| 6. | The arithmetic that aims at the problems of texture segmentation is improved and the experiments have been done
针对纹理分割过程中存在的一些问题，对算法进行了改进，并进行了仿真实验。 |
| 7. | Finding more useful texture segmentation methods and the research about the parallel image processing are regarded as a solution to the problem
引入有针对性的分割方法，与进行并行处理为这个问题的解决提供了一条有效的途径。 |
| 8. | As an important aspect of digital image process and pattern recognition , texture segmentation has always been one of the hottest and most difficult study topics
纹理分割是图像处理和模式识别中一个重要的研究内容,一直以来是人们研究的热点。 |
| 9. | Texture segmentation is an important and difficult problem in the texture analysis ; texture feature extraction and classification are crucial in the texture segmentation
纹理分析中一类重要且难度较大的问题是纹理分割，纹理特征的提取和特征的分类是纹理分割的关键。 |
| 10. | We discussed the techniques of image texture segmentation in details , and compared the differences . finally , we pointed out the main problems in existing methods
对遥感图像的纹理分割技术进行了详细讨论，然后对常用的纹理分割方法进行了分析比较，并提出了现有方法存在的主要问题。 |
