Image fusion, compresion and separation and segmentation Technique

Mayank Satya Prakash Sharma

doi:10.37591/rtpc.v5i1.1528

Abstract

Image fusion compression Separation and segmentation is very typical task in image processing field In this paper we have done image fusion with help of Principal Component analysis(PCA) and Independent Component analysis(ICA) and compression with Principal Component Analysis (PCA) and Separation with Independent Component analysis (ICA) ,Scatter graphical method and convolution Mixture technique and segmentation with watershed technique and K mean ROI Focus on Different technique of image and signal representation Such as PCA ,ICA, scatter graphical Watershed and K mean ROI Technique . These Technique are based on one of the main properties: nongaussianity, orthogonility mean Square error of the sources, their different autocorrelations, or their smoothly changing no stationary variances.Keywords: PCA, ICA, FAST ICA watershed transform, K mean ROICite this ArticleMayank Satya Prakash Sharma, Ranjeet Singh Tomar, Vivekanand Mishra et al. Image Fusion, Compresion, Separation and Segmentation Technique. Recent Trends in Parallel Computing. 2018; 5(1): 27–36p.