Classification of Rust Grades on Steel Surfaces

نویسندگان

  • Cem Ünsalan
  • Aytül Erçil
چکیده

Selecting most representative features among a huge feature set is considered in this paper. One feature extraction and five feature selection algorithms are tested on features obtained form steel surfaces. Two new feature selection algorithms are introduced in this paper. Performance measure for feature selection algorithms is also introduced as a new method to select the best performing feature selection algorithm. Steel surfaces are classified as rusty and clean according to selected features by each selection algorithm.

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تاریخ انتشار 1998