Author: Saban Ozturk; Umut Ozkaya; Mucahid Barstugan
Title: Classification of Coronavirus Images using Shrunken Features Document date: 2020_4_6
ID: 2l1zw19o_24
Snippet: Grey Level Run Length Matrix; GLRLM uses higher-order statistical methods to extract the spatial features of gray level pixels. The obtained feature matrix is two-dimensional. Each value in the matrix shows the total formation value of the gray level. GLRLM features are seven in total. These high statistical features are the short-run emphasis, longrun emphasis, gray-level non-uniformity, run-length non-uniformity, run percentage, low gray-level .....
Document: Grey Level Run Length Matrix; GLRLM uses higher-order statistical methods to extract the spatial features of gray level pixels. The obtained feature matrix is two-dimensional. Each value in the matrix shows the total formation value of the gray level. GLRLM features are seven in total. These high statistical features are the short-run emphasis, longrun emphasis, gray-level non-uniformity, run-length non-uniformity, run percentage, low gray-level run emphasis, and high gray-level run emphasis [23] .
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