Imaging polarimetry allows visual information to be extracted from the polarization of light with recent applications ranging from remote sensing from satellite images to the study of anisotropic properties of biomolecules, as well as the development of denoising algorithms. In particular polarized light microscopy can reveal {among other properties- particular changes in the structure of some cells. In conventional approaches to polarimetric microscopy a sample is imaged by rotating polarizer and analizer so variable polarization states are achieved under time-division strategies. We propose a space-division multiplexing technique which by multiview sensing of a microscopic sample with an adequate polarization mask allows us to obtain Stokes parameters of the sample in real-time. Validation experiments obtaining Degree of Linear Polarization as well as Angle of Polarization of the sample are presented.
Object recognition is an automated image processing application of great interest in areas ranging from defect inspection to robot vision. In this regard, the generalized Hough transform (GHT) is a well-established technique for the recognition of geometrical features out of binary images even corrupted by noise or when the target is partially occluded. In order to enhance the performance of the original algorithm in detecting a given geometrical feature out of a single image, we consider the transformation of an stereo pair of a 3D scene under the GHT, one of the images using the template we are looking for and the other using its corresponding according to the perspective transformation that relates the images of the stereo pair. Validation experiments using partially occluded targets in noisy environments are presented.
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