Defocus-based image segmentation
نویسندگان
چکیده
Foreground and background features are focused (or defocused) diierently in an image because corresponding objects are at diierent depths in the scene. This paper presents a novel approach for segmenting foreground and background in video images based on feature defocus. A modiied defocus measurement that distinguishes between high-contrast defocused edges and low-contrast focused edges is presented. Defocus-based segmentation is desirable because defocus techniques are computationally simple. Results indicate that the foreground is easily segmented from moving background. This approach, coupled with motion detection , can segment complex scenes containing both moving background and stationary foreground.
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