PITIP is a TEM image processor (Under construction)
Detect the contour of the aimed object and colormap the curvature of each point on the contour.
Thanks to morphsnakes, the contour is well dectected using Morphological Snakes [1][2] method. After smoothing the contour with an average convolution, we calculate the curvature of the contour by fitting a circle to a point and the two points that are several points away from it[3].
A Demo:
Note that active contour detection can be slow on high resolution pictures, one may compress the picture to accelerate the detection. Superpixel algorithm might be useful in such case (TODO).
Particle detection and distance analysis.
A Demo:
[1]: A Morphological Approach to Curvature-based Evolution of Curves and Surfaces, Pablo Márquez-Neila, Luis Baumela and Luis Álvarez. In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2014, DOI 10.1109/TPAMI.2013.106
[2]: Morphological Snakes. Luis Álvarez, Luis Baumela, Pablo Márquez-Neila. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2010 (CVPR10).
[3]: Cell Shape Dynamics: From Waves to Migration. Driscoll MK, McCann C, Kopace R, Homan T, Fourkas JT, et al. PLOS Computational Biology 8(3): e1002392, 2012