Abstract
Determination of the threshold value is one of the challenging processes for edge detection in image processing. In this study, the threshold values of the gradient based edge detection algorithms for Roberts, Sobel, Prewitt were determined using the Particle Swarm Optimization (PSO) algorithm, based on the image quality measurements, Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Metrics (SSIM) and Correlation Coefficients (CC). The threshold values determined by the PSO algorithm and the quality values obtained for the default value of the threshold are compared. In addition the output images obtained by the algorithm were evaluated visually.
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Süzme, N.Ö., Güraksın, G.E. (2020). Comparison of Image Quality Measurements in Threshold Determination of Most Popular Gradient Based Edge Detection Algorithms Based on Particle Swarm Optimization. In: Hemanth, D., Kose, U. (eds) Artificial Intelligence and Applied Mathematics in Engineering Problems. ICAIAME 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-36178-5_14
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