小波变换用于催化剂表面图象的局部特性分析  

LOCAL CHARACTERISTICS ANALYSIS OF CATALYST SURFACE IMAGE USING WAVELET TRANSFORM

作　　者：王积分[1,2] 阎炜[1,2] 段世铎[1,2] 冯霞[1,2] 

机构地区：[1]天津大学计算机科学与工程系 [2]天津大学化学系

出　　处：《计算机研究与发展》1998年第3期266-269,共4页Journal of Computer Research and Development

基　　金：国家自然科学基金

摘　　要：文中讨论了催化剂表面ＳＥＭ图象关于多重分形生长过程的局部奇异性分析．通过小波变换获得的局部奇异强度，比描述整体的单一分形维数和奇异谱，能提供更加准确的Ｈｏｌｄｅｒ指数绝对值和空间定位．用奇异强度直方图描述了图象上分形测度的分布，进而确定了催化剂表面活性区域的分布．Local singularity analysis of catalyst surface SEM image for multifractal growth process is discussed. The local singularity strength obtained with the continuous wavelet transform can provide more accurate absolute Holder exponent and the spatial location of singularities than the single fractal dimension describing global property and the singularity spectrum. The singularity strength distribution image provides the characterization of fractal measures supported by two dimension digital images, and can determine the active region distribution on catalyst surface.

关 键 词：小波变换 奇异强度 催化剂表面图象 图象处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]