Splitting and Merging for Active Contours: Plug-And-Play Publisher

Summary: Scientists report a method to improve contour detection in medical scans, enhancing dental and heart imaging. #MedicalImaging #Technology

M Lashgari MOJTABA ; A Banerjee ABHIRUP ; H Rabbani HOSSEIN
Source: Mathematics Published:2025

Abstract

This study tackles the challenge of splitting and merging in parametric active contours or snakes. The proposed method comprises three stages: (1) fully 4-connected interpolation, (2) snake splitting, and (3) snakes merging. For this purpose, first, the coordinates of snake points are separated into two corrupted 1D signals, with missing X/Y samples in the signals representing missing snakes’ coordinates. These missing X/Y samples are estimated using a constrained Tikhonov regularisation model, ensuring fully 4-connected snakes. Next, crossing points are identified by plotting snake points onto a raster matrix, detecting overlaps where multiple snake points occupy the same raster cell. Finally, snakes are split or merged by extracting snake points between crossing snake points that form a loop using a heuristic approach. Experimental results on the boundary detection of enamel in Micro-CT images and coronary arteries’ lumen in CT images demonstrate the proposed method’s ability to handle contour splitting and merging effectively. © 2025 Elsevier B.V., All rights reserved.