A Contour/Grid Conversion Method by Using Euclidean Distance Transformation.

Fast Euclidean Distance Transformation by Propagation Using Multiple Neighborhoods

We propose a new exact Euclidean distance transformation (DT) by propagation, using bucket sorting. A fast but approximate DT is first computed using a coarse neighborhood. A sequence of larger neighborhoods is then used to gradually improve this approximation. Computations are kept short by restricting the use of these large neighborhoods to the tile borders in the Voronoi diagram of the image...

Fast Euclidean Morphological Operators Using Local Distance Transformation

Symmetrical and circular structural elements (SE) play a central role in mathematical morphology in the continuous plane, since they provide an isotropic treatment of the image. On the other hand, for digital images, circular SE are rarely used because there is no simple and efficient implementation of the dilation by such a SE on a discrete lattice. Indeed, a direct application of the definiti...

A Method for Defuzzication by Weighted Distance

A Micropower Current-Mode Euclidean Distance Calculator for Pattern Recognition

In this paper a new synthesis for circuit design of Euclidean distance calculation is presented. The circuit is implemented based on a simple two-quadrant squarer/divider block. The circuit that employs floating gate MOS (FG-MOS) transistors operating in weak inversion region, features low circuit complexity, low power (<20uW), low supply voltage (0.5V), two quadrant input current, wide dyn...

Bearing Fault Diagnosis Method Using Envelope Analysis and Euclidean Distance

Bearings are widely used in rotating machines. Its health status is a significant index to indicate whether machines run continually or not. Detecting the bearing faults timely is very important for the maintenance decision making. In this paper, a new fault diagnosis method based on envelope analysis and Euclidean Distance is developed. Envelope analysis is used to enable the fault frequencies...