A study on Robust Feature Image for Texture Classification and Detection
作者： Kang-In Hur , Jong-Young Ahn , Young-Sub Kim , Sang-Bum Kim
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摘要: In this paper, we make up a feature image including spatial properties and statistical on image, format covariance matrices using region variance magnitudes. By it to texture classification, paper puts proposal for tough classification way illumination, noise rotation. Also offer minimalize performance time of integral expressing middle fast calculation sum. To estimate evaluation proposed way, use Brodatz so conduct addition histogram specification create rotation image. And then an experiment get better over 96%.
koreascience.or.kr参考文章(5)
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