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自然地理学和测绘学
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纹理指数
相关语句
  texture index
     In addition to conventional boundary morphology parameters of wear debris,surface roughness parameters and surface texture index were adopted as important parameters. Total 9 input parameters,area,length,roundness,fiber ratio,aspect ratio,boundary fractal dimension,surface roughness parameters (Sa and Sq) and surface texture index (Stdi),were used to be as input parameters of BP neural network to recognize types of wear debris. The application example demonstrates that the developed method can be used to recognize types of wear debris precisely.
     提出了一种有效的磨粒类型识别方法,该方法除了选用传统的磨粒形态特征参数,将表面粗糙度和表面纹理指数也作为重要的磨粒识别参数,选用面积、长度、圆度、纤维比率、体态比、边界分形维数、表面粗糙度Sa、Sq和表面纹理指数(Stdi)等9个参数,采用人工神经网络来识别磨粒类型,应用示例表明效果良好,提高了磨粒类型识别的精确度。
短句来源
  相似匹配句对
     Service Quality Index
     服务质量指数
     Indices in Renal Failure
     尿指数
短句来源
     Textures and Fractals
     纹理和Fractals
短句来源
     texture coding;
     纹理编码 ;
短句来源
     A threshold is selected in texture and VI information to discriminate every type.
     对纹理指数信息均设各类型的阈值进行分割提取;
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  texture index
The texture index was the average of the absolute difference between a pixel and its neighbors.
      
The simulated series demonstrated a linear relationship between the heterogeneity and the first principal component for texture index, energy, entropy and inertia.
      
The texture index is the easiest to compute and provides the most efficient results for clinical purpose.
      
However, in women aged 70-79 years, the highest odds ratio was observed for trabecular texture index but not for trabecular BMD.
      
Particles of kaolinite during pressing with increasing force, up to a certain value, are located with the (001) plane parallel to the pressing plane, which is reflected in the rise in the texture index.
      
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The present study illustrates a method for monitoring the urban growth of Shaoxing city, which is experiencing an obvious trend of urbanization, with the help of two different TM images acquired on different dates. The methodological approach followed was by creating vegetation index using NDVI equation and then texturing the images to create a Normalized Difference Textural Index for the years 1984 and 2000. This index represented the ratio of changes in the resultant image. The method is found to be successful...

The present study illustrates a method for monitoring the urban growth of Shaoxing city, which is experiencing an obvious trend of urbanization, with the help of two different TM images acquired on different dates. The methodological approach followed was by creating vegetation index using NDVI equation and then texturing the images to create a Normalized Difference Textural Index for the years 1984 and 2000. This index represented the ratio of changes in the resultant image. The method is found to be successful in showing the areas of change between the two consecutive images. However, appropriate ground data is always necessary to reach a reliable conclusion. The results have revealed a notable change in the vegetation cover in and around the City premises. The key assumption of this study is to investigate the reciprocal relationship between landscape ecology symbolized by the presence of vegetative cover and the land use represented by urbanization in support with NDVI.

以绍兴市作为研究区 ,选取两景不同时相的TM影像 ,进行了城镇扩展的研究。该研究区位于中国东部沿海地区 ,其地理位置和投资环境决定了其城镇的快速发展 ,因此对其进行城镇扩展的研究具有非常重要的意义。本文假定以植被覆盖为明显标志的景观生态和基于NDVI的城镇土地利用之间的相互关系 ,给出了一种新的城镇扩展检测方法 ,即使用NDVI公式生成植被指数 ,然后提取 1984年和 2 0 0 0年归一化差分纹理指数的纹理影像 ,这些指数显示了这些纹理影像变化的比率 ,该方法成功地显示了两景影像间的变化区域。当然为了获取正确的结论往往需要相关的地面数据。研究结果显示 ,在城镇外围地区具有明显的植被覆盖变化

The recognition of types of wear debris is the key objective of wear debris analysis.An effective approach to recognize types of wear debris was proposed.In addition to conventional boundary morphology parameters of wear debris,surface roughness parameters and surface texture index were adopted as important parameters.Total 9 input parameters,area,length,roundness,fiber ratio,aspect ratio,boundary fractal dimension,surface roughness parameters (Sa and Sq) and surface texture index (Stdi),were used to be as input...

The recognition of types of wear debris is the key objective of wear debris analysis.An effective approach to recognize types of wear debris was proposed.In addition to conventional boundary morphology parameters of wear debris,surface roughness parameters and surface texture index were adopted as important parameters.Total 9 input parameters,area,length,roundness,fiber ratio,aspect ratio,boundary fractal dimension,surface roughness parameters (Sa and Sq) and surface texture index (Stdi),were used to be as input parameters of BP neural network to recognize types of wear debris.The application example demonstrates that the developed method can be used to recognize types of wear debris precisely.

提出了一种有效的磨粒类型识别方法,该方法除了选用传统的磨粒形态特征参数,将表面粗糙度和表面纹理指数也作为重要的磨粒识别参数,选用面积、长度、圆度、纤维比率、体态比、边界分形维数、表面粗糙度Sa、Sq和表面纹理指数(Stdi)等9个参数,采用人工神经网络来识别磨粒类型,应用示例表明效果良好,提高了磨粒类型识别的精确度。

 
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