ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we present a general theory of adaptive mathematical morphology (AMM) in the Euclidean space. The proposed theory preserves the notion of a structuring element, whi...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...
JEC
2006
13 years 4 months ago
2006
Many applications commonly found in digital signal processing and image processing applications can be represented by data-flow graphs (DFGs). In our previous work, we proposed a ...
NIPS
2004
13 years 6 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
HIS
2008
13 years 6 months ago
2008
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
GRID
2000
Springer
13 years 8 months ago
2000
Springer
Image processing applications (IPA) requirements can be best met by using the distributed environment. The authors had developed an environment over a network of VAX/VMS and Unix f...
FCCM
2004
IEEE
13 years 8 months ago
2004
IEEE
We demonstrate the use of a "smart camera" to accelerate two very different image processing applications. The smart camera consists of a high quality video camera and f...
ASPDAC
2007
ACM
13 years 8 months ago
2007
ACM
- Most image processing applications are computationally intensive and data intensive. Reconfigurable hardware boards provide a convenient and flexible solution to speed up these a...
EWCBR
1998
Springer
13 years 8 months ago
1998
Springer
In this paper, an interactive system for the development of Image Processing applications is described. This system is intended to provide some assistance to Image Processing exper...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...