A study on Robust Feature Image for Texture Classification and Detection
Young-Sub Kim, Jong-Young Ahn, Sang‐Bum Kim, Kang-In Hur · The Journal of the Institute of Webcasting, Internet and Telecommunication · 2010
In this paper, we make up a feature image including spatial properties and statistical properties on image, and format covariance matrices using region variance magnitudes. By using it to texture classification, this paper puts a proposal for tough texture classification way to illumination, noise and rotation. Also we offer a way to minimalize performance time of texture classification using integral image expressing middle image for fast calculation of region sum. To estimate performance evaluation of proposed way, this paper use a Brodatz texture image, and so conduct a noise addition and histogram specification and create rotation image. And then we conduct an experiment and get better performance over 96%.