The Research suggests a novel model aims to reduce the time of search for image
files by proposing a new indexing mechanism to avoid the plague algorithm used with
indexing so that the access time to these files becomes as less as possible.
The fi
rst stage in this paper is to clarify the importance of archiving in organizing
files via designing a database, storing images in it and recording the times needed to
obtain the required files from the database. Then the indexing process for image files
stored in the database is applied by proposing a new algorithm -B+ Tree enhanced- for
organizing image files according to a certain mechanism to facilitate accessing any file,
conducting queries and recording the times used to get those files from the database to
compare them with the times required to access files before indexing in order to show the
efficiency of the proposed method.
This Research suggests a new mechanism that aims to increase the effectiveness of
surveillance systems by extracting the moving objects coming from surveillance camera in
order to identify them and propose a new mechanism for indexing and storing i
n database
and classified them according to the basic characteristics and strong indicators and retrieval
when needed in less possible time.
The basic idea lies in the combination of the basic characteristics of the goal (color,
edges and texture) which ensures the best performance in extracting the basic target
features and depend on it as indexes, then nonlinear transfers has been done on the edges
of the target in order to get a picture bearing the minutest details, then conducted adverse
transfers on the edges of the target during the process retrieved from the database. Finally,
we propose a new mechanism for indexing all images tabase to Retrieval them in best
accuracy and less time, and a program had been achieved to realize this idea.
