This paper describes a SIMD optimization method for computing different Euclidean distance algorithms. Distance transforms have been widely applied to image analysis and pattern recognition problems. The proposed approach is based on the inherent fine and medium-grain parallelism of considered distance algorithms and has been implemented using Intel Streaming SIMD Extensions (SSE), intrinsics a...

This paper presents a method for implementing an optical linear equation analyzer. Recognition of this type shows potential for becoming a promising field within computer vision with applications in many areas of the sciences and engineering. This technique works by performing basic image processing techniques and matching these to a database of trained data samples to perform a classification....

We compared morphometric data on various nerve cells in the human special sensory system using the modified Klüver-Barrera staining method with an extremely minimized shrinkage ratio and an image-analyzer. According to the measurement data of cell-body sizes, we classified nerve cells of the various nerve nuclei in the special sensory system into three groups. These data are of interest to bett...

We have developed a new technique for the morphological differentiation of various nerve fibers which is especially suitable for the morphometric study of nerve fibers of the human nervous system with the help of an image-analyzer. The knowledge from findings by this technique, which is based on several study methods, may be of importance in promoting further neuromorphologic studies and in pro...

A principle for stereoscopic photographs that enables viewing three-dimensional atomic arrangements is proposed. The azimuthal shifts of forward-focusing peaks in the photoelectron diffraction pattern obtained by left and right helicity lights enables a stereoscopic image when the two images are, respectively, viewed by the left eye and the right eye simultaneously. By taking advantage of this ...