My Account | Careers | Downloads | Blog

PROJECT TITLE :

Active Curve Recovery of Region Boundary Patterns - 2012

ABSTRACT:

This study investigates the recovery of region boundary patterns in an image by a variational level set method which drives an active curve to coincide with boundaries on which a feature distribution matches a reference distribution. We formulate the scheme for both the Kullback-Leibler and the Bhattacharyya similarities, and apply it in two conditions: the simultaneous recovery of all region boundaries consistent with a given outline pattern, and segmentation in the presence of faded boundary segments. The first task uses an image-based geometric feature, and the second a photometric feature. In each case, the corresponding curve evolution equation can be viewed as a geodesic active contour (GAC) flow having a variable stopping function which depends on the feature distribution on the active curve. This affords a potent global representation of the target boundaries, which can effectively drive active curve segmentation in a variety of otherwise adverse conditions. Detailed experimentation shows that the scheme can significantly improve on current region and edge-based formulations.


Did you like this research project?

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

PROJECT TITLE : Memory-Aware Active Learning in Mobile Sensing Systems ABSTRACT: A novel active learning framework for activity recognition utilizing wearable sensors is presented here. When deciding which sensor data should be
PROJECT TITLE : Toward Predicting Active Participants in Tweet Streams A case study on Two Civil Rights Events ABSTRACT: In recent years, there has been a lot of interest in the field of research surrounding online social media.
PROJECT TITLE : Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction ABSTRACT: At the moment, one of the most cutting-edge approaches for
PROJECT TITLE : Toward Predicting Active Participants in Tweet Streams: A Case Study on Two Civil Rights Events ABSTRACT: In recent years, there has been a lot of interest in the field of research surrounding online social media.
PROJECT TITLE : Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics ABSTRACT: This article presents a data-driven method for computing reachable sets that makes use of active learning (AL) to reduce

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

Project Enquiry