Volume Exploration Using Multidimensional Bhattacharyya Flow.

ABSTRACT: We present a novel approach for volume exploration that is versatile yet effective in isolating semantic structures in both noisy and clean data. Specifically, we describe a hierarchical active contours approach based on Bhattacharyya gradient flow which is easier to control, robust to noise, and can incorporate various types of statistical information to drive an edge-agnostic exploration process. To facilitate a time-bound user-driven volume exploration process that is applicable to a wide variety of data sources, we present an efficient multi-GPU implementation that (1) is approximately 400 times faster than a single thread CPU implementation, (2) allows hierarchical exploration of 2D and 3D images, (3) supports customization through multidimensional attribute spaces, and (4) is applica

SUBMITTER: Jadhav S 

PROVIDER: S-EPMC9594946 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature