Call for Paper - August 2022 Edition
IJCA solicits original research papers for the August 2022 Edition. Last date of manuscript submission is July 20, 2022. Read More

Improved Image Analysis Technique for Embedded System Design

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 86 - Number 3
Year of Publication: 2014
Tamanna Afroze

Tamanna Afroze. Article: Improved Image Analysis Technique for Embedded System Design. International Journal of Computer Applications 86(3):1-4, January 2014. Full text available. BibTeX

	author = {Tamanna Afroze},
	title = {Article: Improved Image Analysis Technique for Embedded System Design},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {86},
	number = {3},
	pages = {1-4},
	month = {January},
	note = {Full text available}


Security is the primitive issue for humanity. From Paleolithic age, people are trying to secure themselves from natural calamity, furious animals and other adversities. With the advancement of technology, we get Machine gun, Nuclear Bomb, and many such powerful types of equipment for security. All these powerful equipments are used for protecting the border of a country, or in war against the enemy nation. General people cannot afford those powerful equipments. They need some simple but useful equipment necessary for protection against their enemies, which are wild enemies, cockroach, ants, and spiders. While working in a project of designing a device which will take care of the security issue for the general people, I need to design the image matching algorithm for the device named as Environment Aware Protection Device, in which whole detection mechanism of the insects is embedded in a chip of the device. An improved image analysis technique is used in this paper for detecting the bugs. Positional existence of organs within the insects is considered for image analysis


  • Hamacher Carl, Vranesic Zvonko, Zaky Safwat "Computer Organization. " Mc Graw Hill, fifth edition, pp 516-549, 2002.
  • Skroder C. John in "Using the M68HC11 Microcontroller – A Guide to Interfacing and Programming the M68HC11 Microcontroller". Willey Publication.
  • Peatman B. John. In "Design With PIC Microcontroller", Second Edition.
  • Mannual on PIC Microcontroller, Retrieved From www. support. microchip. com.
  • Hubalek Z. "Coefficients of association and similarity based on binary (presence-absence) data - an evaluation," Biological Review, Vol. 57, pp. 669-689, 1982
  • Jain A. K. , Dubes R. C. Algorithms for Clustering Data, Prentice Hall, 1988.
  • Theodoridis S. , Koutroumbas K. Pattern Recognition, Academic Press, 2003.