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Detecția de bloburi×Operații Morfologice de Imagine×
DomeniuVedere artificialăVedere artificială
FamilieMachine learningMachine learning
Anul apariției19981982
Autorul originalTony LindebergJean Serra
TipMulti-scale feature detectionSet theory and topological image processing
Sursa seminalăLindeberg, T. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30(2), 79–116. DOI ↗Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press. link ↗
Denumiri alternativeConnected component analysis, Region-based detectionMathematical morphology, Morphological filtering
Înrudite55
RezumatBlob detection is a technique for identifying regions of interest (blobs)—connected, homogeneous areas that differ from their surroundings—at multiple scales. Introduced by Lindeberg in the context of scale-space theory, blob detection automatically finds and characterizes circular or elliptical objects without requiring a priori knowledge of their size.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.
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ScholarGateCompară metode: Blob Detection · Image Morphology Operations. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare