Edge Detection Through Integrated Morphological Gradient and Fuzzy Logic Approach
نویسنده
چکیده
This paper presents an effective comparison between various edge detection techniques and emphasizes on how fuzzy logic can be applied for edge detection. Edges provide the representation of object boundaries thus, filtering unnecessary data and that is the reason behind edge detection being an essential component in many computer image processing subfields such as classification, feature extraction, pattern recognition etc. We compare Sobel and Laplacian of Gaussian edge detector, Morphological Gradient with the integrated fuzzy logic approach(Type 1 fuzzy logic applied upon Morphological Gradient Technique). It is found that Sobelhas the highest PSNR value for noiseless images. Also these edge detectors are tested on 0.001 White Gaussian Noise images which yields integrated T1FS to be a consistent edge detector. Keywords—Morphological Gradient, Prewitts, Laplacian of Gaussian, Fuzzy Logic, Mamdani, Fuzzification, Defuzzification.
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