Fabric pattern contains many types of the available pattern elements, which not only can be used for the researchers, but also as the material for the designer. But existing method focus on the complete image retrieva...Fabric pattern contains many types of the available pattern elements, which not only can be used for the researchers, but also as the material for the designer. But existing method focus on the complete image retrieval, therefore lack methods of retrieving pattern elements. This article proposes a pattern elements retrieval algorithm based on cosine transform. Firstly, automatically segment the patterns according to size and location and filter the similar primary patterns, then, through cosine transform, analyze elements features in DCT domain, extract amplitude frequency and phase frequency. We employ 2-norm to measure the similarity, search 10 similar pattern elements in the sample library and save them in the design resources library. Experiment results indicate that this algorithm performs well while used in palace costume and carpet patterns, and got more than 75% of the average recall in 100 times experiments展开更多
研究一种基于小波域三重马尔科夫随机场模型(Markov Random Field,MRF)分割算法的遥感图像分割分析方案,对高分五号卫星提供的遥感图像信息进行MRF图元分割,在图元中使用两次小波域分析进行图像信息加强处理,其结果仍无法在高分卫星工...研究一种基于小波域三重马尔科夫随机场模型(Markov Random Field,MRF)分割算法的遥感图像分割分析方案,对高分五号卫星提供的遥感图像信息进行MRF图元分割,在图元中使用两次小波域分析进行图像信息加强处理,其结果仍无法在高分卫星工具包中实现图像信息的有效读取,所以使用无人机超低空补充遥感的方式进行补充遥测,最终比较植被、水域、道路、建筑在高分卫星工具包下的识别率。革新方案的识别率远高于卫星直接图像的识别率,但对水域、道路的识别率仍较低,经过超低空补充遥感后,识别率达到99%以上,基于小波域三重MRF分割算法对遥感图像处理有积极意义。展开更多
基金Supported by National Natural Science Foundation of China(61163044)Philosophy and Social Key Fund Project(12AZD120)+1 种基金Project ofBeijing Scientific Committee(Z141110004414074Z141100001914035)
文摘Fabric pattern contains many types of the available pattern elements, which not only can be used for the researchers, but also as the material for the designer. But existing method focus on the complete image retrieval, therefore lack methods of retrieving pattern elements. This article proposes a pattern elements retrieval algorithm based on cosine transform. Firstly, automatically segment the patterns according to size and location and filter the similar primary patterns, then, through cosine transform, analyze elements features in DCT domain, extract amplitude frequency and phase frequency. We employ 2-norm to measure the similarity, search 10 similar pattern elements in the sample library and save them in the design resources library. Experiment results indicate that this algorithm performs well while used in palace costume and carpet patterns, and got more than 75% of the average recall in 100 times experiments
文摘研究一种基于小波域三重马尔科夫随机场模型(Markov Random Field,MRF)分割算法的遥感图像分割分析方案,对高分五号卫星提供的遥感图像信息进行MRF图元分割,在图元中使用两次小波域分析进行图像信息加强处理,其结果仍无法在高分卫星工具包中实现图像信息的有效读取,所以使用无人机超低空补充遥感的方式进行补充遥测,最终比较植被、水域、道路、建筑在高分卫星工具包下的识别率。革新方案的识别率远高于卫星直接图像的识别率,但对水域、道路的识别率仍较低,经过超低空补充遥感后,识别率达到99%以上,基于小波域三重MRF分割算法对遥感图像处理有积极意义。
