Earticle

초록

영어

Image processing technology is improving lately, and its importance has been greatly increased. Therefore, a lot of research and work is utilized with an image processing. For individual use, just need the effective and swift method simply process the image and make out the result immediately; while for research, it usually use more accurate and complex method for particular purpose, can somewhat tolerate the time cost and huge operands. Everyone has advantage and disadvantage; everyone deserves to be delved into. By the way, in any high level algorithm, they still take important parts in actual application. This paper contains some simple daily used and research used complex methods, describe their theories and analysis implement results, for deeper comprehension. This paper, we introduced the representative method of Gaussian smoothing technique, Laplace sharpening technique, Canny edge detection technique. After that, take an actual application of car license location, elaborate the common algorithm responsibility, and meanwhile take some subtle new attempts for algorithm development. In the experiment, the results for each algorithm showed by image and describe the characteristics for each algorithm.

목차

Abstract
 1. Introduction
 2. Technique of General Image Processing
  2.1. Gaussian Smoothing Technique
  2.2. Laplace Sharpening Technique
  2.3. Canny Edge Detection Technique
 3. Car License Plate Application
 4. Experimental Result
 5. Conclusion
 References

키워드

저자

• Seong-Yoon Shin [ Kunsan National Univ., 1170 Daehangno, Gunsan, Kunsan, 573-701, South Korea ]
• Dai-Hyun Jang [ Kunsan National Univ., 1170 Daehangno, Gunsan, Kunsan, 573-701, South Korea ]
• Hyoung-Keun Park [ Namseoul Univ., 91 Daehak-ro Seonghwan-eup Cheonan, 331-707, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605