分类与识别 meaning in English
classification and identification
Examples
- 4 , ir object ' s classification and recognition : because of various factors in the process of feature extraction , the feature extracted is polluted certainly by noise , that the feature has certain uncertainty
4 、红外目标的分类与识别：由于目标特征提取中，受到各种因素的影响，提取的特征不可避免的带有噪声，即是具有一定的不确定性。 - So research in this paper on ommateum contain two points , first researching ommateum like other normal visual system , considering contents including preprocessing of ir images , target image segmentation , feature extraction and target classification ; second researching ommateum ' s special feature
本文就是从这两点展开讨论研究。首先，把复眼作为一般视觉系统看待，从图像的预处理、图像的分割、特征提取以及目标的分类与识别，这一系列的一般视觉处理过程来考虑。 - Measurement and characterization of surface texture is an important aspect of precision metrology . historically this has involved partitioning a profile into different wavelength regimes referred to as roughness , waviness and form followed by numerical quantization . parameters computed are then inspected for tolerance compliance to ensure a part performs its intended function . this approach is satisfactory when the specification has been carefully determined and the process is stable . however , when the manufacturing process is under development or when instability or modifications to the process invalidate specifications , there is a need to study surface finish parameters in relation to functional performance or process measures . in this context , the problem of surface texture classification and recognition are discussed . advanced techniques developed for this purpose along with applications are presented . also , the techniques discussed here will be useful across large bandwidth , from the characterization of nano scale to traditional micro scale surfaces
表面结构的测量与特征描述是精密计量技术的一个重要方面,传统上包括将轮廓情况根据不同的波长范围划分为粗糙度、波纹度和形状及后续的数字量化.按算得的参数检查它是否为公差允许,以保证零件执行其指定的功能.当技术特性已经经过仔细确定,并且其过程稳定时,该方法是令人满意的;但是,当制造过程正在进行中或过程的不稳定、过程变化使技术特性失效时,就需要研究和功能表现及过程评定相关的表面参数.讨论了表面结构的分类与识别问题.同时阐述了为此目的而开发的先进技术及其应用.所研究的技术对从纳米尺度到传统的微米尺度的较大带宽范围内的表面特征描述都是有效的