Title :
Plume segmentation using local entropic thresholding
Author :
Tseng, Din-Chang ; Shieh, Wern-Sheng
Author_Institution :
Inst. of Comput. Sci. & Electron. Eng., Nat. Central Univ., Chung-Li, Taiwan
fDate :
30 Aug-3 Sep 1992
Abstract :
An approach for segmenting plume images using local entropic thresholding is proposed. Several threshold values are calculated by using entropy measurement on a cooccurrence matrix of an image. These threshold values are used to segment the image into a lower-level image which consists of a few regions. Finally several experiments are conducted to examine how the proposed approach performs
Keywords :
air pollution detection and control; computer vision; entropy; environmental science computing; image segmentation; air pollution; computer vision; cooccurrence matrix; entropy measurement; image segmentation; local entropic thresholding; plume; Air pollution; Atmospheric measurements; Detectors; Entropy; Histograms; Image segmentation; Pixel; Pollution measurement; Protection; Symmetric matrices;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201950
