  Multiple optical scattering occurs when light propagates in a non-uniform
medium. During the multiple scattering, images were distorted and the spatial
information they carried became scrambled. However, the image information is
not lost but presents in the form of speckle patterns (SPs). In this study, we
built up an optical random scattering system based on an LCD and an RGB laser
source. We found that the image classification can be improved by the help of
random scattering which is considered as a feedforward neural network to
extracts features from image. Along with the ridge classification deployed on
computer, we achieved excellent classification accuracy higher than 94%, for a
variety of data sets covering medical, agricultural, environmental protection
and other fields. In addition, the proposed optical scattering system has the
advantages of high speed, low power consumption, and miniaturization, which is
suitable for deploying in edge computing applications.
