Keywords : Fractal Geometry


Computer Network System for Fire Flame detection from Digital Video using Fractal Geometry

Laheeb M. Ibrahim; Khalil I, Alsaif; Hasan Maher Ahmed

AL-Rafidain Journal of Computer Sciences and Mathematics, 2010, Volume 7, Issue 1, Pages 95-114
DOI: 10.33899/csmj.2010.163865

This research aims to build a computer network system that works on detecting and locating flame by using fractal geometry in the digital video through building the network system in a server-client structure through which the characteristics of both the server and the clients are determined.
A terminal stations were adapted to receive the digital video, and then divided into set of frames to be treated later on individually using fractal geometry (2 dimension variation algorithm to create fractal dimensions matrix). Studying and analyzing the value of the fractal dimensions of each frame, to identify the flame region by recognizing the common properties.
Applying the suggested algorithm on Various samples exceeding 300 colored digital images containing flames with different spectra have been selected. Those images are taken by digital cameras or downloaded from the internet. On the other hand, the application on digital video applied and exceed 100 sample.
Results show that using fractal dimension is an active and encouraging way in determining the characteristics of flame with its all spectra. No any negative evidence was recorded on all samples which exceed 100 sample from the digital video during the interval of the application test. Results also show the harmony and consistency in transferring process through the protocols that have been dealt with.
 

Detect Flame Fire Using Fractal Geometry in Color Digital Images

Laheeb Mohammad Ibrahim; Khalil I. Alsaif; Hasan M. Alnima

AL-Rafidain Journal of Computer Sciences and Mathematics, 2009, Volume 6, Issue 1, Pages 61-78
DOI: 10.33899/csmj.2009.163785

Pattern recognition, which takes features extraction as a basis for decision making, is considered as of the cutting-edge technologies. It is used in various useful applications such as tracking and monitoring objects.
In this research an algorithm for detecting fire flame in the colored digital images is built. The algorithm basically depends an extracting the features of flame spots with all its spectra with reference to fractal dimension. The input image is cut into a set of equal dimension squares, then fractal dimension for each square is calculated using two-dimension variation algorithm, which is are of the algorithms used in calculating fractal dimension. Fractal dimension values in the output fractal dimension array are analyzed to detect flame spots using the computer through determining the common features and characteristics of the flame with all its spectra.
 

Finding the Amount of the Occupation of a Specific Datum in a ‎Database File

Rayan Yousif Alkhayat

AL-Rafidain Journal of Computer Sciences and Mathematics, 2009, Volume 6, Issue 1, Pages 135-147
DOI: 10.33899/csmj.2009.163791

This research includes constructing a software system to find the amount of a specific datum occupation in a database file using fractal dimension ,  Box Counting method was used to calculate the fractal dimension with some treatments of it are performed to qualify it for practical application and fitness for the use with database files. Because of its high performance with databases,  Microsoft Visual FoxPro 9.0 was used to create the executable application. Students degrees database was used as a case study for the given research .
 

Fractal Dimension Calculation for the General Shapes of ‎Geographical Maps and Closed Curves

Rayan Yousif Alkhayat; Basil Younis Thanoon

AL-Rafidain Journal of Computer Sciences and Mathematics, 2005, Volume 2, Issue 1, Pages 99-114
DOI: 10.33899/csmj.2005.164076

This research includes building a software to calculate the Fractal Dimension of the general shapes of the borders of geographical maps as well as closed curves. Two methods are adopted for calculating fractal dimension: the first is the well-known Box Counting method and the second is Two-dimension Variation method , some treatments of the two methods are performed in order to qualify them for practical application and fitness for the use in digital images which are used for the representation of borders of maps and closed curves. Matlab 6.5 programming language was used for the implementation of this work, the map of the republic of Iraq was used as a case study for the given work.