Open AccessREGIONAL FRACTAL AND ARTIFICIAL OBJECT DETECTION
Author(s) -
Ma Zhao-Mian,
Tao Chun-kan
Publication year - 1999
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.48.2202
Subject(s) - artificial intelligence , computer science , fractal , computer vision , object (grammar) , pattern recognition (psychology) , texture (cosmology) , segmentation , object detection , natural (archaeology) , image texture , fractal analysis , image segmentation , image (mathematics) , fractal dimension , mathematics , geology , mathematical analysis , paleontology
Artificial object detection and segmentation in natural background are key points of pattern recognition and computer vision.The effect of complex texture of natural background and other factors,make it difficult to segment artificial object from natural background.In this paper,an algorithm based on watershed transform and regional fractal texture analysis is proposed to detect and segment artificial object from natural background.