I have 60 images and 40 landmarks, I want to use active shape model for segmenting new images, is there any python madule for it? if not which book do you prefer for reading this topic?
Yes, I would suggest the "menpo" library, which is an open-source toolkit for machine learning applied to image analysis. It provides an implementation of Active Shape Models as well as other image segmentation and analysis algorithms.
Yes, there are several Python modules for active shape model (ASM) implementation. Some popular ones are:
PyASM: A Python module for building and fitting active shape models. It includes both PCA-based and gradient-based shape models. You can find the PyASM repository on GitHub.
SimpleITK: A library for image analysis that includes an implementation of the active shape model. SimpleITK is a powerful library for medical image processing, and it provides many other features in addition to ASM. You can find the SimpleITK library on its official website.
scikit-image: A popular Python library for image processing that includes an implementation of active shape models. It is a simple and easy-to-use library for beginners. You can find scikit-image on its official website.
As for reading materials, there are several books that cover active shape model and related topics in detail. Some recommended books are:
"Medical Image Processing: Techniques and Applications" by Geoff Dougherty. This book covers a broad range of topics related to medical image processing, including active shape models.
"Computer Vision: Algorithms and Applications" by Richard Szeliski. This book provides a comprehensive overview of computer vision algorithms and techniques, including active shape models.
"Digital Image Processing" by Rafael C. Gonzalez and Richard E. Woods. This book is a classic in the field of image processing and covers many topics, including active shape models.