ALGORITHMS FOR EDGE DETECTION BY USING FUZZY LOGIC TECHNIQUE | ||
| Kirkuk Journal of Science | ||
| Article 1, Volume 10, Issue 1, March 2015, Pages 173-190 PDF (0 K) | ||
| DOI: 10.32894/kujss.2015.101966 | ||
| Authors | ||
| Abdullah H. Muhammad; Hussain S. Akbar | ||
| Abstract | ||
| The fuzzy technique is an operator introduced in order to simulate at a mathematical level the compensatory behavior in process of decision making or subjective evaluation. This paper introduces such operators on hand of computer vision application. novel method based on fuzzy logic reasoning strategy is proposed for edge detection in digital images without determining the threshold value. The proposed approach begins by segmenting the images into regions using 3x3 binary matrix. The edge pixels are mapped to a range of values distinct from each other. The robustness of the proposed method results for different captured images are compared to those obtained with the linear Sobel Robert and Canny operators. It is gave a permanent effect in the lines smoothness and straightness for the straight lines and good roundness for the curved lines. In the same time the corners get sharper and can be defined easily. | ||
| Keywords | ||
| Fuzzy Logic; Edge detection; Image Processing; Computer vision; Mechanical parts; measurement | ||
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