New noise-containing remote sensing image segmentation method

The invention provides a noise-containing remote sensing image segmentation algorithm which is based on wavelet packet analysis and is combined with improved 2D otsu, aiming at improving noise-containing image segmentation accuracy. The algorithm includes that firstly wavelet packet is used for deco...

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Bibliographic Details
Main Authors JIA ZHENHONG, ZHOU TONGCHI, LIU WENJING
Format Patent
LanguageChinese
English
Published 24.11.2010
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:The invention provides a noise-containing remote sensing image segmentation algorithm which is based on wavelet packet analysis and is combined with improved 2D otsu, aiming at improving noise-containing image segmentation accuracy. The algorithm includes that firstly wavelet packet is used for decomposing a noise-containing remote sensing image, then adaptive threshold method is adopted to remove noise in the image, and then the two-dimensional histogram of the image is projected onto diagonal, so as to form a one-dimensional histogram with obvious 'double peak' distribution, and finally 2D otsu method is applied for searching optimal segmentation threshold on a line vertical to the diagonal, so as to realize image segmentation. The invention not only effectively removes interference of noise but also obtains better segmentation effect.
Bibliography:Application Number: CN20101243654