مقایسهٔ روش‌ها

	تفکیک پس‌زمینه	عملیات مورفولوژیکی تصویر
حوزه	بینایی ماشین	بینایی ماشین
خانواده	Machine learning	Machine learning
سال پیدایش	1999	1982
پدیدآور	Stauffer and Grimson	Jean Serra
نوع	Temporal image analysis	Set theory and topological image processing
منبع بنیادین	Stauffer, C., & Grimson, W. E. L. (1999). Adaptive background mixture models for real-time tracking. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 246–252.	Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press.
نام‌های دیگر	Foreground detection, Video segmentation	Mathematical morphology, Morphological filtering
مرتبط	5	5
خلاصه	Background subtraction is a video processing technique that separates moving foreground objects from a static or slowly changing background by comparing each frame to a learned or estimated background model. Widely used in video surveillance and motion detection, background subtraction enables robust foreground detection even in complex scenes with illumination changes.	Morphological image processing, introduced by Jean Serra in 1982, is a technique based on set theory that reshapes and analyzes image regions using geometric structuring elements. Core operations include erosion and dilation, which can be combined into more complex operations like opening and closing, enabling noise removal, edge detection, and object analysis.