Title :
Underwater Microscopic Shape from Focus
Author :
Karthik, S. ; Rajagopalan, A.N.
Author_Institution :
Dept. of Electr. Eng., IIT Madras, Chennai, India
Abstract :
In this paper, we extend traditional Shape from focus (SFF) to the underwater scenario. Specifically, we show how 3D shape of objects immersed in water can be extracted from images captured under an optical microscope. Traditional SFF employs telecentric optics to achieve geometric registration among the frames. We extend conventional SFF to underwater objects under the assumption of negligible scattering. We establish that the property of telecentricity holds for objects immersed in water provided the numerical aperture is small. By modeling geometrical distortions due to refraction effects on the water surface, we prove that the depth map obtained in the presence of water is a scaled version of the original depth map. We also reveal that this scale factor is directly related to the refractive index of water. We validate performance with real experiments.
Keywords :
feature extraction; geophysical image processing; image registration; light scattering; numerical analysis; oceanographic techniques; optical microscopes; refractive index; 3D objects shape immersion; SFF; geometric registration; geometrical distortion; image extraction; numerical aperture; optical microscope; refraction effect; refractive index; scattering; shape from focus; telecentric optics; underwater microscopic shape; water surface refraction effect; Fasteners; Lenses; Microscopy; Optical microscopy; Refractive index; Shape; Three-dimensional displays;
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
DOI :
10.1109/ICPR.2014.367