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In this document, we are discussing the Perona-Malik algorithm which involves the fusion of linear and nonlinear methods to achieve multiscale image edge detection. The algorithm is known for its ability to detect edges in images with high accuracy and reliability. To implement this algorithm, we will be using the code for linear and nonlinear fusion of multiscale image edge detection provided by Perona-Malik. This code will allow us to process images and achieve edge detection at different scales. Additionally, we will be utilizing the latest techniques in image processing to ensure that the results are of the highest quality and accuracy. By using the Perona-Malik algorithm, we can achieve better image processing results that are useful in a variety of applications such as computer vision, medical imaging, and more.