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应用计算机图像纹理分析的理论与方法探讨了稀土氧化物 (La2 O3 )对Ni/α Mg2 Al4 SiO5O18催化剂表面结构的影响 .研究表明 ,空间灰度值共生矩阵 (SGLCM)法所抽取的纹理熵和纹理能特征是催化剂表面镍的分散状态和稳定性的有效度量 ,将所获得的信息与催化剂表面的镍晶粒度及活性相关联 ,均取得较好的一致性 ,说明计算机图像纹理分析是催化剂设计和结构分析的新途径 .
The effects of rare earth oxide (La2 O3) on the surface structure of Ni / α Mg2 Al4 SiO5O18 catalyst were discussed by using computer image texture analysis theory and method. The results show that the texture entropy extracted by spatial gray value co-occurrence matrix (SGLCM) The texture energy characteristic is an effective measure of the dispersion state and the stability of nickel on the catalyst surface. The obtained information is correlated with the nickel grain size and the activity of the catalyst surface, and better agreement is obtained, indicating that the computer image texture analysis is a catalyst Design and structural analysis of new ways.