Impact of Histogram Subset Selection on Classification using Multi-scale LBP-Operators
نویسندگان
چکیده
Multi-scale Local Binary Pattern based operators are used to extract features from duodenal texture patches with histological ground truth in case of pediatric celiac disease. The multi-scale LBP combined with color channels and possibly other filters lead to a high number of computed histograms. The impact of histogram subset selection on the overall classification rates using two feature subset selection algorithms (SFS and SBS) with three LBP-based operators is analyzed and the applicability of these techniques validated.
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تاریخ انتشار 2011