Efficient Technique to Detect Edge in Images with Fuzzy Rules
T. Ramesh1, A. Thilagavathy2, Karnam Sai Chetan3, Karnam Sai Charan4, Vemulapalli Sri Saideep5
1T.Ramesh, Assistant Professor, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
2A.Thilagavathy, Associate Professor, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
3Karnam Sai Chetan, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
4Karnam Sai Charan, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
5Vemulapalli Sri Saideep, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
Manuscript received on November 26, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1011-1015 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2941129219/2020©BEIESP | DOI: 10.35940/ijeat.B2941.129219
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: There exists an increasing demand to detect edge of an image for many real time applications. In this paper an innovative technique is proposed for detecting text using fuzy rules. The projected system primarily divides the image into fragment of 3 x 3 matrix. The proposed system uses fuzzy rules using input size of eight pixels and one output pixel. The output pixels will either be one among black, white or edge pixel. The fuzzy sytem is applied with sixteen rules for categorizing the pixel as target pixel. Fuzzification is performed which converts the input pixel into the fuzzy interval between zero and one. It is followed by calculating a degree of Hesitation, which is also called as the intuitionstic fuzzy indicator. The last step is the Defuzzification process where the pixel identified as the pixel is converted to its original image pixel with the interval between 1 and 255. The proposed system is weighed against existing edge detecting methods like Canny, Sobel, and ACO algorithm. The proposed algorithm works fine even for exigent scenarios of the image.
Keywords: Fuzzy rules, ACO, Intuitionistic fuzzy indicator.