Separating touching objects in remote sensing imagery: the restricted growing concept and implementations

• Published in: IEEE transactions on image processing Vol. 9; no. 2; pp. 312 - 314
• Main Authors: Leen-Kiat Soh, Tsatsoulis, C.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2000; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Applied sciences; Artificial intelligence; Computer science; control theory; systems; Exact sciences and technology; Guidelines; Image analysis; Image processing; Image recognition; Information, signal and communications theory; Masks; Pattern recognition. Digital image processing. Computational geometry; Pixel; Radar tracking; Remote sensing; Sea ice; Separation; Shape; Signal processing; Synthetic aperture radar; Telecommunications and information theory; Separation method; Experimental result; Algorithm performance; Image processing; Digital processing; Pattern recognition; Image restoration; Mathematical morphology; Comparative study; Implementation; Remote sensing
• ISSN: 1057-7149; 1941-0042
• DOI: 10.1109/83.821752

This paper defines the restricted growing concept (RGC) fur object separation and provides an algorithmic analysis of its implementations. Our concept decomposes the problem of object separation into two stages. First, separation is achieved by shrinking the objects to their cores while keeping track of their originals as masks. Then the core is grown within the masks obeying the guidelines of a restricted growing algorithm. In this paper, we apply RGC to the remote sensing domain, particularly the synthetic aperture radar (SAR) sea ice images.