Image segmentation using streamlines analogy

Authors:
B. A. Youssef
Affiliations:
Moubarak City for Scientific Research and Technological Applications, Alexandria, Egypt
Venue:
Machine Graphics & Vision International Journal
Year:
2010

Citing 5
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Abstract

This paper presents a novel method for digital image segmentation based on the analogy between streamlines in fluid dynamics and isophote lines in digital images. The segmentation problem is reformulated so that the image intensity corresponds to the stream function for a two-dimensional, incompressible flow, and image intensity gradients are represented as the fluid velocity vector. Segmentation is effected by computing the streamlines by solving a coupled system of ordinary differential equations using a fourth-order Runge-Kutta method. Selection of the initial starting point for segmentation is based on color homogeneity in terms of local color gradient, and on variance. The effectiveness of the developed segmentation method is demonstrated through a number of case studies, ranging from gray level to colored images.