3-D reconstruction of microcalcification clusters using stereo imaging: algorithm and mammographic unit calibration.

The three-dimensional (3-D) shape of microcalcification clusters is an important indicator in early breast cancer detection. In fact, there is a relationship between the cluster topology and the type of lesion (malignant or benign). This paper presents a 3-D reconstruction method for such clusters using two 2-D views acquired during standard mammographic examinations.

Correspondences between microcalcification projections on two mammographic views acquired with digital systems.

In this paper, we have proposed an algorithm for automatic matching of MC projections viewed on two mammograms of the same breast. The implemented algorithm consists in three steps. From five morphological features of the MC, a similarity function was built between each MC of the first image of the pair, and each MC of the second image.

Optical high-precision three-dimensional vision-based quality control of manufactured parts by use of synthetic images and knowledge for image-data evaluation and interpretation.

Vision-based evaluation of industrial workpieces can make efficient use of knowledge-based approaches, in particular for quality control, inspection, and accurate-measurement tasks. A possible approach is to compare real images with conceptual (synthetic) images generated by use of standard computer-aided design models, which include tolerances and take the application-specific conditions into account (e.g.