XMUBET with CONSENT: pixel hostility induced multiscale object extractor

The capability of mapping image information into multiple scales of gray is induced in a single multilayer self organizing neural network (MLSONN) by a MUBET activation function. An extended multilevel beta (XMUBET) activation function with context sensitive thresholding (CONSENT) based on image neighborhood context information, for multiscale object extraction using a single MLSONN is proposed in this paper. A pixel hostility index is proposed which can account for the neighborhood context information in an image. The threshold values for the XMUBET are derived from the multiscale pixel neighborhood contexts by computing the hostility indices of the image pixels. A single MLSONN with error compensation based on the linear indices of fuzziness in the output layer outputs is then employed to extract multiscale objects from a multiscale image scene. An application of the proposed XMUBET with CONSENT is demonstrated with two real life multiscale images. The results are substantiated with the standard correlation coefficients between the original and the extracted images.