Open AccessAn Interactive Algorithm for Image Smoothing and Segmentation
Author(s) -
Marcos Carneiro de Andrade
Publication year - 2004
Publication title -
elcvia. electronic letters on computer vision and image analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.15
H-Index - 11
ISSN - 1577-5097
DOI - 10.5565/rev/elcvia.71
Subject(s) - smoothing , segmentation , artificial intelligence , computer science , scale space segmentation , computer vision , image segmentation , maxima and minima , region growing , segmentation based object categorization , image (mathematics) , process (computing) , algorithm , pattern recognition (psychology) , mathematics , mathematical analysis , operating system
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