Proses Difusi Untuk Meningkatkan Kualitas Deteksi Tepi Citra
Abstract
Image processing is generally used to repair an image that is affected by interference or noise. The goal is so that the resulting image is easy for humans to understand. Edge detection is one of the scientific fields of image processing. To get better image detection results, a diffusion process can be used using the two-dimensional diffusion equation. Initial conditions and boundary conditions are needed in the two-dimensional diffusion equation which is then used to improve image edge detection. The scheme used is an explicit scheme. The time variable is important in this process. The edges of the image will change increasingly as increases. This process continues until . Several examples will be given to illustrate the results for the diffusion process in image edge detection.
References
[2] Hiroshi Sasaki, Chris G Willcocks, and Toby P Breckon. Unit-ddpm: Unpaired image translation with denoising diffusion probabilistic models. arXiv preprint arXiv:2104.05358, 2021.
[3] Jiaming Song, Chenlin Meng, and Stefano Ermon. Denoising diffusion implicit models. arXiv preprint arXiv:2010.02502, 2020.
[4] H. Zimmer, A. Bruhn, L. Valgaerts, M. Breuß, J. Weickert, B. Rosenhahn, and H.-P.Seidel. 2008. PDE-based anisotropic disparity-driven stereo vision, in Vision, Modeling, and Visualization, AKA, Heidelberg. pp. 263–272.
[5] Crank. Mathematics of Difusion. Oxford University Press: London. 1975.
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