영상 인식자를 위한 선형 엔트로피 기반 방법론

Noble Approach of Linear Entropy based Image Identification

  • 박제호 (단국대학교 소프트웨어학과)
  • Park, Je-Ho (Dankook University, Dept. of Software Science)
  • 투고 : 2019.08.16
  • 심사 : 2019.09.23
  • 발행 : 2019.09.30

초록

Human beings have been fascinated by the applicability of the medium of photography since the device was first introduced in the thirteenth century to acquire images by attempting primitive and rudimentary approaches. In the 21st century, it has been developed as a wide range of technology that enables not only the application of artistic expression as a method of replacing the human-hand-painted screen but also the planar recording form in the format of video or image. It is more effective to use the information extracted from the image data rather than to use a randomly given file name in order to provide a variety of services in the offline or online system. When extracting an identifier from a region of an image, high cost cannot be avoided. This paper discusses the image entropy-based approach and proposes a linear methodology to measure the image entropy in an effort to devise a solution to this method.

키워드

참고문헌

  1. Yongcheol Jeong,"The amount of the global digital data is increasing rapidly so that, 2020, the amount would reach 40ZB… it is 300 times of the amount of 2005", Digital Times, Dec. 2012.
  2. Je-Ho Park, "Still Image Identifier based over Lowfrequency Area", JDCS, 11(3), pp 393-398, Sep. 2010.
  3. Je-Ho Park and Sangmin Lim, "Composition and Analysis of Linear Component Counting based Multiple Indexing", JSDT, 9(3), pp 17-21, Sep. 2010.
  4. Je-Ho Park, Taeg Keun Whangbo, Kuinam J. Kim, "A Novel Image Identifier Generation Method Using Luminance and Location", Wireless Personal Communications, 94(1), pp 99-115, May 2017. https://doi.org/10.1007/s11277-016-3182-3
  5. Mohamed A. El-Sayed and Tarek Abd-El Hafeez, "New Edge Detection Technique based on the Shannon Entropy in Gray Level Images", Int. J. on Comput. Sci., 4, pp 186-191, 2008.
  6. Mohamed A. El-Sayed, Sayed F. Bahgat and Abdel-Khalek, "Novel Approach of Edges Detection for Digital Images Based On Hybrid Types of Entropy", Int. J. of Applied Mathematics and Information Science, pp 1809-1817, 2013.