A Brief Survey of Color Image Preprocessing and Segmentation Techniques

Siddhartha Bhattacharyya
2011 Journal of Pattern Recognition Research  
Multichannel information processing from a diverse range of channel information is highly time-and space-complex owing to the variety and enormity of underlying data. Most of the classical approaches rely on filtering and statistical techniques. Methods in this direction involve Markov random models, vector directional filters and statistical mixture models like Gaussian and Dirichlet mixtures. The non-classical approaches comprising the neuro-fuzzy-genetic paradigm or its variants are bestowed
more » ... with features for real time applications. This article presents a brief survey of the aforestated trends in color image enhancement and segmentation.
doi:10.13176/11.191 fatcat:iy4md7fp3rc37osn6qpgkuviqm