title: Cell edge detection in JPEG2000 wavelet domain - analysis on sigmoid function edge model.
abstract: Big virtual microscopy images (80K x 60K pixels and larger) are usually stored using the JPEG2000 image compression scheme. Diagnostic quantification, based on image analysis, might be faster if performed on compressed data (approx. 20 times less the original amount), representing the coefficients of the wavelet transform. The analysis of possible edge detection without reverse wavelet transform is presented in the paper. Two edge detection methods, suitable for JPEG2000 bi-orthogonal wavelets, are proposed. The methods are adjusted according calculated parameters of sigmoid edge model. The results of model analysis indicate more suitable method for given bi-orthogonal wavelet.
authors: Department of Multimedia Engineering, Kaunas University of Technology, Lithuania. Vytenis.Punys@KTU.LT
authors: Vytenis
authors: V
authors: Punys
authors: Ramunas
authors: R
authors: Maknickas
mesh_terms: D000465:Algorithms; D002462:Cell Membrane / Q000473:pathology; D003196:Computer Graphics; D003201:Computers; D003584:Cytological Techniques; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D012984:Software