The paper describes the concept and realization of the DOOCS control software for FPGAbased
TESLA cavity controller and simulator (SIMCON). It bases on universal software
components, created for laboratory purposes and used in MATLAB based control
environment. These modules have been recently adapted to the DOOCS environment to
ensure a unified software to hardware communication model. The presented solution can be
also used as a general platform for control algorithms development. The proposed interfaces
between MATLAB and DOOCS modules allow to check the developed algorithm in the
operation environment before implementation in the FPGA. As the examples two systems
have been presented.
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.
