Anandakrishnan N

@providencecnr.org

Associate Professor, PG & Rearch Department of Computer Science
Providence College for Women (Autonomous)

Anandakrishnan N


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EDUCATION

., Ph.D.,

RESEARCH INTERESTS

Digital Image Processing
Mobile Computing
Netwoking
Big Data
3

Scopus Publications

Scopus Publications

  • An evaluation of popular edge detection techniques in digital image processing
    N. Anandakrishnan, S. Santhosh Baboo
    Proceedings 2014 International Conference on Intelligent Computing Applications Icica 2014, 2014
    Edge is a sudden change that occurs in an image. Edge Detection is the approach used most frequently for segmenting images based on abrupt changes in intensity. It is a concept that covers a number of fields in today's environment. In this paper the survey of different Edge Detection techniques like classical, augmented or may be a derived algorithm in different bases such as Fuzzy Logic, Genetic Algorithm, or Neural Networks and others which are used as Soft Computing Approaches today, are comparatively studied.
  • A novel improved gradient noise tolerant method for enhanced edge detection
    Journal of Theoretical and Applied Information Technology, 2014
  • IGNT edge detection based 2D motion tracking system
    Arpn Journal of Engineering and Applied Sciences, 2014