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Detekce blobů×Morfologické operace s obrazy×
OborPočítačové viděníPočítačové vidění
RodinaMachine learningMachine learning
Rok vzniku19981982
TvůrceTony LindebergJean Serra
TypMulti-scale feature detectionSet theory and topological image processing
Původní zdrojLindeberg, 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 ↗
Další názvyConnected component analysis, Region-based detectionMathematical morphology, Morphological filtering
Příbuzné55
ShrnutíBlob 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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ScholarGatePorovnat metody: Blob Detection · Image Morphology Operations. Získáno 2026-06-17 z https://scholargate.app/cs/compare