1 August 1997 Scene segmentation using a combined criterion of motion and intensity
Si-Woong Lee, Jae Gark Choi, Seong-Dae Kim
Author Affiliations +
An image segmentation algorithm for segmentation-based video sequence coding is presented. The method uses a new criterion based on similarities in both motion and brightness. Brightness and motion information are incorporated in a single segmentation procedure. The actual segmentation is accomplished using a region-growing technique based on the watershed algorithm. It comprises the processes of extracting the initial regions called seeds and their growing by merging similar neighboring pixels. In addition, a tracking technique is used in subsequent frames to achieve a coherent segmentation through time. Simulation results show that the proposed method is effective in determining object boundaries not easily found using the static criterion alone.
Si-Woong Lee, Jae Gark Choi, and Seong-Dae Kim "Scene segmentation using a combined criterion of motion and intensity," Optical Engineering 36(8), (1 August 1997). https://doi.org/10.1117/1.601463
Published: 1 August 1997
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CITATIONS
Cited by 9 scholarly publications and 2 patents.
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KEYWORDS
Image segmentation

Motion estimation

Motion models

Motion measurement

Image processing algorithms and systems

Optical engineering

Video coding

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