Paper
28 May 2004 Automatic image segmentation by wave propagation
Author Affiliations +
Proceedings Volume 5298, Image Processing: Algorithms and Systems III; (2004) https://doi.org/10.1117/12.527193
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
We develop a level set based region growing method for automatic partitioning of color images into segments. Previous attempts at image segmentation either suffer from requiring a priori information to initialize regions, being computationally complex, or fail to establish the color consistency and spatial connectivity at the same time. Here, we represent the segmentation problem as monotonic wave propagation in an absorbing medium with varying front speeds. We iteratively emit waves from the selected base points. At a base point, the local variance of the data reaches a minimum, which indicates the base point is a suitable representative of its local neighborhood. We determine local variance by applying a hierarchical gradient operator. The speed of the wave is determined by the color similarity of the point on the front to the current coverage of the wave, and by edge information. Thus, the wave advances in an anisotropic spatial-color space. The absorbing function acts as a stopping criterion of the wave front. We take advantage of fast marching methods to solve the Eikonal equation for finding the travel times of the waves. Besides, each region boundary is represented as a mixture of Gaussian models. This formulation enables segmentation of multi-modal color objects. Our method is superior to the linkage-based and snake-based region growing techniques since it prevents leakage and imposes compactness on the region without over-smoothing its boundary. Furthermore, we can deal with sharp corners and changes in topology. The automatic segmentation method is Eulerian, thus it is computationally efficient. Our experiments illustrate the robustness, accuracy, and effectiveness of the proposed method.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fatih M. Porikli "Automatic image segmentation by wave propagation", Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); https://doi.org/10.1117/12.527193
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Cited by 5 scholarly publications.
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KEYWORDS
Image segmentation

Wavefronts

Wave propagation

RGB color model

Color image processing

Edge detection

Image processing algorithms and systems

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