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Detekcija mrlja (Blob Detection)×Morfološke operacije nad slikama×
OblastRačunarski vidRačunarski vid
PorodicaMachine learningMachine learning
Godina nastanka19981982
TvoracTony LindebergJean Serra
TipMulti-scale feature detectionSet theory and topological image processing
Temeljni izvorLindeberg, 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 ↗
Drugi naziviConnected component analysis, Region-based detectionMathematical morphology, Morphological filtering
Srodne55
SažetakBlob 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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ScholarGateUporedite metode: Blob Detection · Image Morphology Operations. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare