Density Driven Image Coding for Tumor Detection in mri Image
Somashekhar Swamy, Pranav Kulkarni · IOSR Journal of Computer Engineering · 2017
The significant of multi spectral band resolution is explored towards selection of feature coefficients based on its energy density.Toward the feature representiaon in transformed domain, multi wavelet transformations were used for finer spectral representation.However, due to a large feature count these features are not optimal under low resource computing system.In the recognition units, running with low resources a new coding approach of feature selection, considering the band spectral density is developed.The effective selection of feature element, based on its spectral density achieve two objective of pattern recognition, the feature coefficient representiaon is minimized, hence leading to lower resource requirement, and dominant feature representation, resulting in higher retrieval performance. Density Driven Image Coding for Tumor Detection in Mri Image