Yann GAVET
Dr. HDR
Ecole Nationale Supérieure des Mines de Saint-Etienne

Image Processing Tutorials with Python

Image Processing Tutorials with Python
This recent book (2020) is a collection of tutorials on image processing, analysis and many more, dedicated to undergraduate and graduate students. This a LIBRE (CC-By, and also free electronic version) book that you can get from the editor's website (SPARTACUS-IDH) or from the github if you are looking for the latest version, the source code (python and latex) or simply want to test the code.

3D sequences of images

These datas are free to use (available as TIF stacks, click on images to download), please cite Robust 3-D reconstruction of surfaces from image focus by local cross-sectional multivariate statistical analyses: application to human ex-vivo corneal endotheliums for corneal images and/or cite Surface Topography and Texture Restoration from Sectional Optical Imaging by Focus Analysis
3D Cornea Surface
click to download dataset
click to download dataset
click to download dataset

3D software for histogram of image

screen capture of qthisto
This software can draw a 3D histogramme of color images.
Download Win32 version

Classification of Time-Series Images Using Deep Convolutional Neural Networks

Time-series Classification
Classification of Time-Series Images Using Deep Convolutional Neural Networks Nima Hatami, Yann Gavet and Johan Debayle Ecole Nationale Superieure des Mines de Saint-Etienne, SPIN/LGF CNRS UMR 5307, 158 cours Fauriel, 42023 Saint-Etienne, France. Link to editor
Matlab + Python (keras) code