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분야컴퓨터 비전컴퓨터 비전
계열Machine learningMachine learning
기원 연도19821998
창시자Jean SerraTony Lindeberg
유형Set theory and topological image processingMulti-scale feature detection
원전Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press. link ↗Lindeberg, T. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30(2), 79–116. DOI ↗
별칭Mathematical morphology, Morphological filteringConnected component analysis, Region-based detection
관련55
요약Morphological 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.Blob 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.
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ScholarGate방법 비교: Image Morphology Operations · Blob Detection. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare