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Image fusion, compresion and separation and segmentation Technique

Mayank satya prakash Sharma

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 ROI

Cite this Article
Mayank 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.


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