Title :
Demonstrating edge data across multiple resolution levels
Author :
Weeks, Michael ; Brannock, Evelyn
Author_Institution :
Comput. Sci. Dept., Georgia State Univ., Atlanta, GA, USA
Abstract :
This work discusses edge detection based on the discrete wavelet transform, especially for biological images. In particular, we examine multiple octaves of an image, decomposed then reconstructed using the discrete wavelet transform. We show that this technique picks out edges from the background well.
Keywords :
biology computing; discrete wavelet transforms; edge detection; image reconstruction; image resolution; biological images; discrete wavelet transform; edge detection; image decomposition; image reconstruction; multiple octaves; multiple resolution level; Computer science; Detectors; Discrete wavelet transforms; Filtering; Fluctuations; Image edge detection; Image resolution; Laplace equations; Low pass filters; Neurons;
Conference_Titel :
Southeastcon, 2009. SOUTHEASTCON '09. IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3976-8
Electronic_ISBN :
978-1-4244-3978-2
DOI :
10.1109/SECON.2009.5174045
