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Morfologisk bildbehandling×Histogramutjämning×
ÄmnesområdeDatorseendeDatorseende
FamiljMachine learningMachine learning
Ursprungsår19821970s
UpphovspersonJean SerraSignal processing community
TypSet theory and topological image processingContrast enhancement and preprocessing
UrsprungskällaSerra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press. link ↗Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link ↗
AliasMathematical morphology, Morphological filteringHistogram stretching, Contrast enhancement
Närliggande55
SammanfattningMorphological 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.Histogram equalization is an image preprocessing technique that redistributes pixel intensities to improve contrast and visibility of details. By spreading the histogram of pixel values evenly across the available range, histogram equalization enhances images with poor contrast, making features more visually distinct and easier to process algorithmically.
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ScholarGateJämför metoder: Image Morphology Operations · Histogram Equalization. Hämtad 2026-06-17 från https://scholargate.app/sv/compare