"图像算法讲义：图像处理与算法应用"

Image Algorithms is a comprehensive lecture series that delves into the intricacies of representing and manipulating images using various algorithms. The course is instructed by John Burkardt from the Department of Scientific Computing at Florida State University during the Spring Semester of 2011. The course covers a wide range of topics including representing images, the Portable Gray Map Format, image histograms, contrast stretching, contrast enhancement, noise reduction techniques such as salt and pepper noise and Gaussian noise, as well as edge detection algorithms. Students are also given the opportunity to work on projects that further reinforce their understanding of the concepts discussed in the lectures. Overall, Image Algorithms provides a thorough overview of the techniques and methods used in image processing, equipping students with the knowledge and skills needed to effectively manipulate and analyze images for various scientific applications. The course serves as a valuable resource for those looking to delve deeper into the field of image processing and algorithm development.