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图像纹理特征分析及提取方法 被引量:4
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作者 雷雨果 梁楠 刘春梅 《软件工程》 2022年第7期5-8,共4页
将计算机机器视觉、图像处理及图像分析技术紧密结合起来并用于图像纹理特征的分析,通过总结已有的研究成果,研究分析图像在区域化、边缘化、数学变换化等不同算法思想下提取的纹理特征,并总结提出了一种计算成本趋向实时处理的图像纹... 将计算机机器视觉、图像处理及图像分析技术紧密结合起来并用于图像纹理特征的分析,通过总结已有的研究成果,研究分析图像在区域化、边缘化、数学变换化等不同算法思想下提取的纹理特征,并总结提出了一种计算成本趋向实时处理的图像纹理特征处理方案。该方案研究了更为精细的纹理分类、纹理分割、纹理拼接和纹理配准等算法,并可实现图像纹理特征提取的准确性和良好的扩展性,实现后续分类、分割、拼接和配准等基本应用的及时性、准确性和高效性。 展开更多
关键词 图像纹理特征分析 计算机机器视觉 图像处理
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SAR Image Classification Based on Its Texture Features
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作者 LIPingxiang FANGShenghui 《Geo-Spatial Information Science》 2003年第3期16-19,55,共5页
SAR images not only have the characteristics of all-ay, all-eather, but also provide object information which is different from visible and infrared sensors. However, SAR images have some faults, such as more speckles... SAR images not only have the characteristics of all-ay, all-eather, but also provide object information which is different from visible and infrared sensors. However, SAR images have some faults, such as more speckles and fewer bands. The authors conducted the experiments of texture statistics analysis on SAR image features in order to improve the accuracy of SAR image interpretation. It is found that the texture analysis is an effective method for improving the accuracy of the SAR image interpretation. 展开更多
关键词 texture analysis CLASSIFICATION gray co-occurrence
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