DocumentCode
3061460
Title
Comparison of thresholding techniques using synthetic images and ultimate measurement accuracy
Author
Zhang, Y.J. ; Gerbrands, J.J.
Author_Institution
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
209
Lastpage
213
Abstract
Presents an objective and quantitative study of several thresholding techniques. For this study, three sets of test images to simulate various real situations have been designed. The accuracy of object feature measurement is used to assess the performance. The authors not only provide an insight into these techniques but also show the usefulness of synthetic images and ultimate measurement accuracy in segmentation evaluation and comparison
Keywords
image segmentation; image segmentation; object feature measurement; synthetic images; thresholding techniques; ultimate measurement accuracy; Computer science; Electric variables measurement; Filtering; Gaussian noise; Histograms; Image segmentation; Information theory; Low pass filters; Signal to noise ratio; Testing;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICPR.1992.201963
Filename
201963
Link To Document