PROJECT TITLE :

A Continuous Random Walk Model With Explicit Coherence Regularization for Image Segmentation

ABSTRACT:

Images can be segmented using the random walk algorithm, which is a popular and efficient method (ROIs). When applied to large photos, the random walk approach requires solving a massive sparse linear system. For one thing, it's quite sensitive to seed distribution, which makes it difficult for users to get accurate segmentation results. A continuous random walk model with explicit coherence regularisation (CRWCR) for the extracted ROI is proposed in this research, which helps to reduce the seed sensitivity, thereby reducing user interactions. Finally, a highly efficient technique for solving the model will be created, which removes the challenge of tackling large linear systems. First, we run a one-dimensional random walk sweep using user-provided seeds, followed by a Peaceman-Rachford alternating-direction algorithm (PRA) for additional correction. Using a small number of one-dimensional random walk problems, we can quickly get a good idea of ROI in the first stage. Once this initial prediction has been refined, the second stage is applied, which is likewise very efficient because it works well with GPU processing, and 10 iterations are usually adequate for convergence. The proposed model and the efficiency of the two-stage procedure are tested numerically.


Did you like this research project?

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


PROJECT TITLE : An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure ABSTRACT: It can be difficult to make accurate predictions about the occurrence of complex chronic conditions
PROJECT TITLE :Explicit List-Decodable Rank-Metric and Subspace Codes via Subspace DesignsABSTRACT:We construct an explicit family of -linear rank-metric codes over any field that enables efficient list-decoding up to
PROJECT TITLE :Alternative Method for Making Explicit FDTD Unconditionally StableABSTRACT:Another technique is developed to make an specific FDTD unconditionally stable. In this method, given any time step, we find the modes that
PROJECT TITLE :Efficient Eigen-Analysis for Large Delayed Cyber-Physical Power System Using Explicit Infinitesimal Generator DiscretizationABSTRACT:Time delays significantly compromise the performance of wide-space measurement
PROJECT TITLE :Explicit Reference Governor for Constrained Nonlinear SystemsABSTRACT:This technical note introduces a unique management law that dynamically modifies the reference of a pre-compensated nonlinear system to confirm

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

Project Enquiry