Anandakrishnan N

@providencecnr.org

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



           

https://researchid.co/drakpcw

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 and S. Santhosh Baboo
    IEEE
    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


  • IGNT edge detection based 2D motion tracking system