An Interactive Algorithm for Image Smoothing and Segmentation

Autor: Marcos Carneiro de Andrade
Jazyk: angličtina
Rok vydání: 2004
Předmět:
Computer engineering. Computer hardware
Deformable Models
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-space segmentation
Adecuación del territorio
Image Segmentation
Imágenes raster
image segmentation and image extraction
TK7885-7895
Image texture
Minimum spanning tree-based segmentation
Línea divisoria de aguas
Línia divisòria d'aigües
Computer vision
Image Denoising
Segmentació visual
Regiones candidatas
Seeded Region-Growing
Adequació del territori
Regions candidates
Pixels contiguos
Herramienta de procesamiento de imágenes
Segmentation-based object categorization
business.industry
Partial Differential Equations
smoothing
QA75.5-76.95
Image segmentation
Equacions diferencials parcials
Watershed
Ecuaciones diferenciales parciales
Imatges raster
Region growing
Electronic computers. Computer science
Computer Science::Computer Vision and Pattern Recognition
Eina de processament d'imatges
Computer Vision and Pattern Recognition
Artificial intelligence
Píxels contigus
Range segmentation
Segmentación visual
business
Software
Smoothing
Zdroj: ELCVIA: electronic letters on computer vision and image analysis; 2004: Vol.: 4 Núm.: 1; p. 32-48
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 4, Iss 1 (2004)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Popis: This work introduces an interactive algorithm for image smoothing and segmentation. A non-linear partial differential equation is employed to smooth the image while preserving contours. The segmentation is a region-growing and merging process initiated around image minima (seeds), which are automatically detected, labeled and eventually merged. The user places one marker per region of interest. Accurate and fast segmentation results can be achieved for gray and color images using this simple method.
Databáze: OpenAIRE
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