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Detecció de blobs×Operacions de Morfologia d'Imatge×
CampVisió per computadorVisió per computador
FamíliaMachine learningMachine learning
Any d'origen19981982
Autor originalTony LindebergJean Serra
TipusMulti-scale feature detectionSet theory and topological image processing
Font seminalLindeberg, 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 ↗
ÀliesConnected component analysis, Region-based detectionMathematical morphology, Morphological filtering
Relacionats55
ResumBlob 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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ScholarGateCompara mètodes: Blob Detection · Image Morphology Operations. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare