Structural Intellectual Techniques for Texture Image Analysis
2021 International Conference on Information Technology and Nanotechnology (ITNT)(2021)
摘要
Current state of the problem of texture analysis and synthesis involves a variety of proposed methods. This paper is devoted to the description and application of some intellectual methods of structural analysis of texture images. In this paper, gradient methods of texture analysis are described, in particular, a special method based on the two-parameter Weibull distribution. Also, the applications of this method to various practical problems are described and its effectiveness is shown. The paper gives some examples of applying of texture features. Additionally, methods of local segmentation and semantic image analysis are described. The results of the conducted experiments prove the efficiency of proposed methods.
更多查看译文
关键词
Structural texture analysis,gradient field,Weibullian model,textural features,classification,segmentation.
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要