A new computer method for temperature measurement based on an optimal control problem

A new computer method to measure extreme temperatures is presented. The method reduces the measurement of the unknown temperature to the solving of an optimal control problem, using a numerical computer. Based on this method, a new device for temperature measurement is built. It consists of a hardware part that includes some standard temperature sensors and it also has a software section.\ud The problem of temperature measurement, according to this new method, is mathematically modelled by means of the one-dimensional heat equation, with boundary and initial conditions, describing the heat transfer through the device.\ud \ud The principal hardware component of the new device is a rod. The variation of the temperature which is produced near one end of the rod is determined using some temperature measurements in the other end of the rod and the new computer method which is described in this work.\ud \ud This device works as an attenuator of high temperatures and as an amplifier of low temperatures. In fact, it realizes an extension of the standard working range of temperature sensors at very high and very low values.\ud \ud The mathematical model of the device and the computer method are explained in detail and some possible practical implementations and a collection of simulations are also presented

The measurement of dilational properties of liquid surfaces

For measurements of viscoelastic properties of monolayer covered interfaces, the longitudinal wave technique is used. The longitudinal wave is generated in the plane of the interface, using a horizontal oscillating barrier. The wave propagation depends on the values of the viscoelastic parameters of the monolayer. The present paper deals with a new method of determining the wave parameters. Using small tracer particles, the displacement of the monolayer, as a function of the distance to the oscillating barrier, is made visible and recorded by video cameras. From these recordings the wave parameters and viscoelastic properties are evaluated. A comparison is made between results obtained with this method and those obtained from the measurements of the varying surface tension. This latter method has until now normally been used to determine the wave parameters. Results on cholesterol and decanoic acid monolayers indicate that both methods lead to similar results within experimental error. It is shown that in case of reflected waves the combination of the results of the two methods, as described earlier by Crone et al., leads to significantly more accurate values of the wave parameters

A statistical model to describe invariants extracted from a 3-D quadric surface patch and its applications in region-based recognition

A statistical model, describing noise-disturbed invariants extracted from a surface patch of a range image, has been developed and applied to region based pose estimation and classification of 3D quadrics. The Mahalanobis distance, which yields the same results as a Baysian classifier, is used for the classification of the surface patches. The results, compared with the Euclidean distance, appear to be much more reliabl

A Surface Relief Meter Based on Trinocular Vision

The concept for the relief meter being developed, appears to function well, when used with the artificial images. The described matching criterion leads to high matching percentages, and accurate results. The percentage of mismatches is reduced to practically zero for the tested scenes. Future work will involve evaluation of the algorithm with real agricultural scenes (soil images) and implementation of special hardware for fast execution of the algorith

A solution to the correspondence problem in multi-view imagery

This paper concerns the analysis of multi-view imagery in order to obtain a scene description and, specifically, the correspondence problem that occurs in this analysis. The required scene description in this case consists of the classes of the objects present in the scene and their parameters: position, size and orientation. The images are aerial photographs and the objects in the images are man-made objects, such as buildings, roads etc. The goal of the complete system is the fully automatic analysis of aerial photographs of urban areas. The output of the system is a scene description that can be used to generate or update a GIS (Geo Information System). Up to now a system has been developed that performs this analysis on a single image [2, 3]. The advantage of using multi-view imagery compared to using single images is that (partly) occluded buildings may still be recognized, because they can be more clearly visible in other images acquired from a different viewpoint. However, the use of multi-view imagery complicates the analysis, because the objects in the different images have to be corresponded to each other. In this paper a solution to this correspondence problem is presented on object hypothesis level. First the image analysis system for single images is described in short. Then the system is extended for multiple images and the method for corresponding object hypotheses is presented. Finally, experiments and conclusions are given

Texture Segmentation Based on Wavelet and Kohonen Network for Remotely Sensed Images

In this paper, an approach based on wavelet decomposition and Kohonen's self-organizing map is developed for image segmentation. After performing the 2D wavelet transform of image, some features are extracted for texture segmentation, and the Kohonen neural network is used to accomplish feature clustering. The experimental results demonstrated the satisfactory effect of the proposed approach both for simulated textured image and multi-spectral remotely sensed image