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
fDate :
30 Aug-3 Sep 1992
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;
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.1992.201963
