REGIONAL FRACTAL AND ARTIFICIAL OBJECT DETECTION | Zendy

MA ZHAO-MIAN | Zendy; ChunKan Tao | Zendy

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REGIONAL FRACTAL AND ARTIFICIAL OBJECT DETECTION

Author(s) -

MA ZHAO-MIAN,

ChunKan Tao

Publication year - 1999

Publication title -

acta physica sinica

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.

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