My Account | Careers | Downloads | Blog

PROJECT TITLE :

Variational Bayesian Blind Color Deconvolution of Histopathological Images

ABSTRACT:

In most whole-slide histology images, two or more chemical dyes are used. In digital pathology, slide stain separation or colour deconvolution is an essential step. The blind colour deconvolution issue is formulated in the Bayesian paradigm in this paper. For example, our model takes into account the spatial relationships between concentration image pixels and the similarity between a particular reference color-vector matrix and the calculated one.. Three innovative and efficient blind colour deconvolution methods based on Variational Bayes inference are proposed, providing automated approaches for estimating all of the problem's model parameters. Using real photos, a comparison of the suggested approach to other colour deconvolution algorithms has been carried out, confirming its superiority.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : A Framework of Reversible Color to Grayscale Conversion With Watermarking Feature ABSTRACT: In order to preserve the original colour image, reversible color-to-grayscale conversion (RCGC) is used to encode the
PROJECT TITLE : Compressive Color Pattern Detection Using Partial Orthogonal Circulant Sensing Matrix ABSTRACT: To get acceptable signal reconstruction quality with compressive sensing, it's important to create a sensing matrix
PROJECT TITLE : Hazy Image Decolorization With Color Contrast Restoration ABSTRACT: Because the colour contrast field in a foggy image is warped, converting it to grayscale is difficult. We propose a technique for decolorizing
PROJECT TITLE : Low-Rank Quaternion Approximation for Color Image Processing ABSTRACT: Grayscale image processing has seen tremendous success with methods based on low-rank matrix approximation (LRMA). By default, LRMA restores
PROJECT TITLE : Deep Color Guided Coarse-to-Fine Convolutional Network Cascade for Depth Image Super-Resolution ABSTRACT: The task of super-resolution of depth images is both significant and difficult. In order to deal with this

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry