Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39088
Title: Learning-based mathematical morphology in color image processing
Authors: Zhou, Hao
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2007
Source: Zhou, H. (2007). Learning-based mathematical morphology in color image processing. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: Mathematical Morphology is a powerful nonlinear image processing tool and is widely used in image processing and analysis areas. Most of the morphological operations based image processing approaches are developed for binary and grayscale images. Nowadays, color image has become the dominant image format and contains more information than monochrome images. Extending mathematical morphology to color image attracts more interests recent years.
Description: 125 p.
URI: https://hdl.handle.net/10356/39088
DOI: 10.32657/10356/39088
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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