APPARATUS AND METHOD FOR DETECTING AND ASSESSING A SPATIALLYDISCRETE DOT PATTERN

摘要

In an apparatus and a method for detecting and assessing a spatially discrete dot pattern disposed in a multidimensional coordinate system, each dot in the pattern assumes at least two differentiatable status values. A measuring device records the coordinate values and status values of each dot of the multidimensional spatial dot pattern. A memory stores data that correspond to the recorded coordinate values and status values of each dot of the multidimensional spatial dot pattern. A computer into which the stored data are entered and in which a coordinate counter for each coordinate value of a coordinate axis is determined from the stored data, is associated with the memory. The value of the coordinate counter is formed from the number of detected dots of the coordinates that have a predetermined status value. A neural network is associated with the computer. An n-dimensional input vector with components formed from the calculated coordinate counters of each dot of the spatially discrete dot pattern is entered in the neural network. The neural network calculates an output vector by comparing the calculated input vector of the measured dot pattern with stored set-point vectors obtained on the basis of exemplary dot patterns. The neural network assigns a classification value of the measured dot pattern from the output vector ascertained and outputs it.