作者: Amit Kenny , Amnon Katz
DOI: 10.1617/S11527-011-9786-X
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摘要: A novel method is introduce for image analysis of the interfacial transition zone around steel rebar. The uses information from neighbourhood each pixel in addition to that itself. This additional allows better classification than using gray level alone. mean shift algorithm was used as an intermediate stage find cluster centers. results show presented can classify images gray-level thresholding, and extracting some parameters which cannot be extracted while thresholding alone, this reliable scan large number obtaining statistical based on micro-structure concrete.