DocumentCode :
454892
Title :
Edge Detection Using Dynamic Optimal Partitioning
Author :
Scargle, Jeffrey D. ; Quweider, Mahmoud K.
Author_Institution :
Div. of Space Sci., NASA Ames Res. Cente, Moffett Field, CA
Volume :
2
fYear :
2006
fDate :
14-19 May 2006
Abstract :
In this paper, a new edge detector (boundary extractor) is proposed based on finding major change points in a local one-dimensional window of the image intensity values of the rows or columns. The approach amounts to separating the pixels in the window into sets or regions of constant intensities with the edge pixels providing transition points. The edge points are found based on partitioning the interval in an optimal way using dynamic programming with an appropriate cost function. Different cost functions are introduced for the algorithm with simulation results that show the detector´s effectiveness even in the presence of noise
Keywords :
dynamic programming; edge detection; feature extraction; image resolution; boundary extractor; dynamic optimal partitioning; dynamic programming; edge detection; edge pixels; image intensity; Computational Intelligence Society; Cost function; Detectors; Dynamic programming; Image edge detection; Image recognition; NASA; Partitioning algorithms; Smoothing methods; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660440
Filename :
1660440
Link To Document :
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