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» PCA Gaussianization for image processing
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MICAI
2009
Springer
15 years 4 months ago
Leukocyte Recognition Using EM-Algorithm
This document describes a method for classifying images of blood cells. Three different classes of cells are used: Band Neutrophils, Eosinophils and Lymphocytes. The image pattern...
Mario Chirinos Colunga, Oscar Sánchez Siord...
ICPR
2000
IEEE
16 years 23 days ago
Sign of Gaussian Curvature from Eigen Plane Using Principal Components Analysis
This paper describes a new method to recover the sign of the local Gaussian curvature at each point on the visible surface of a 3-D object. Multiple (p > 3) shaded images are a...
Shinji Fukui, Yuji Iwahori, Akira Iwata, Robert J....
WSCG
2004
158views more  WSCG 2004»
15 years 1 months ago
Fully Automatic Elastic Registration of MR Images with Statistical Feature Extraction
We present a fully automatic scheme for the registration of MR images. The registration is carried out as a combination of an affine and an elastic transformation. The affine part...
Martin Held, Werner Weiser, Franz Wilhelmstöt...
ICIP
2009
IEEE
16 years 22 days ago
Fast Pseudo-enhancement Correction In Ct Colonography Using Linear Shift-invariant Filters
This paper presents a novel method to approximate shiftvariant Gaussian filtering of an image using a set of shiftinvariant Gaussian filters. This approximation affords filtering ...
ICIAR
2005
Springer
15 years 5 months ago
Unequal Error Protection Using Convolutional Codes for PCA-Coded Images
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is use...
Sabina Hosic, Aykut Hocanin, Hasan Demirel