Self-adaptive segmentation for infrared satellite cloud image

Ping Wang; Juntao Xue; Zhengguang Liu; Huanzhu Liu; Guisheng Tang

doi:10.1117/12.441493

21 September 2001 Self-adaptive segmentation for infrared satellite cloud image

Ping Wang, Juntao Xue, Zhengguang Liu, Huanzhu Liu, Guisheng Tang

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441493
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

It is difficult to segment cloud images because of the complicated and various shapes and blurry edges of cloud. In this paper, we present an idea and a set of realizable design about self-adaptive segmentation by means of mathematical morphology. Created models can show some characteristics of clouds such as shapes, scales and temperature exactly. Some practices show that the segmentation models are self-adaptive, the program is general and the algorithm is high efficient with the parallel operation.

Citation Download Citation

Ping Wang, Juntao Xue, Zhengguang Liu, Huanzhu Liu, and Guisheng Tang "Self-adaptive segmentation for infrared satellite cloud image", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441493

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available