Due to an increase in demand for and questions about direct disk
access for Micrososft platforms, and due to the fact that Microsoft
has no API for direct disk access, I am releasing this library
much earlier than I intended at that start. I am still working on
this code.
GExperts is a set of tools built to increase the productivity of
Delphi and C++Builder programmers by adding several features to the
IDE. GExperts is developed as Open Source software and is contributed
as freeware to the development community. Users are encouraged to
download the source code and submit bug fixes and patches as well as
new features for inclusion in the GExperts distribution.
To increase simulation speed, ModelSim® can apply a variety of optimizations to your design. These include, but are not limited to, mergingprocesses, pulling constants out of loops, clock suppression, and signal collapsing. You control the level of optimization by specifying certain switches when you invoke the compiler.
With the successful implementation of XML Schema, developers are learning how to increase productivity, improve software reliability, minimize development time, and decrease time to market. This in-depth reference is an all-in-one resource designed to help developers leverage the power and potential of XML schemas by offering a complete roadmap to their creation, design, and use.
This paper presents a novel technique to increase
the quality of medical images based on Histogram
Equalization. In the proposed method first we have
applied a noise reduction method and then we apply
some suitable preprocessing on histogram of the
medical images and after that histogram equalization
has been applied on the new histogram. Our proposed
method in despite of its simplicity has better results in
compare to other usual methods based on histogram
equalization. The quality of resulted images after
applying our proposed methods has been tested on a
database (medical images) with a confirmed criterion
by viewer. Also we have considered a mathematical
criterion for comparing our proposed algorithm with
other available methods for contrast enhancement.
Results show the better efficiency of the proposed
method.
