Applications of Fuzzy dot i* algebra in Computer Vision
P.Manjula1, P.Sundararajan2
1P.Manjula*1 ,Assistant Professor(G.L), N.K.R Govt. Arts College for Women, Namakkal, Tamil Nadu, India.
2Dr.P.Sundararajan*, Assistant Professor, Department of Mathematics, Arignar Anna Govt. Arts College, Namakkal. Tamil Nadu, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 559-565 | Volume-9 Issue-5, March 2020. | Retrieval Number: D1917029420/2020©BEIESP | DOI: 10.35940/ijitee.D1917.039520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Right now shows another route sort of identifying an edges and corners in the computer vision calculation. The Edge location is a key purpose of numerous calculations, both in picture preparing and video handling. It is significant that the calculation is proficient quick to bring out through the whole program. The custom system is to utilize the edge recognition it’s not giving the better outcome dependent on the presumptions. In these conventional procedures here and there is vulnerability of the edge, and the man can’t recognize whether it is the edge or not. So as to turn the fuzzy dot i* algebra based edge and corner (named as FDIA) all things considered and tackle the above issues. Fuzzy innovation has been a recent rising innovation utilized in numerous fields, particularly in the image handling, and computer vision is one significant piece of the fuzzy innovation. In light of this innovation, the edges and corners recognize by vigilant corner identification, calculation likewise to portray devices from picture preparing and the speed with the assistance of MATLAB programming.
Keywords: Fuzzy i* Algebra, Corner & Edge Detection, Image Processing and Computer Vision.
Scope of the Article: Fuzzy logics