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A method for a signal evaluation of an electronic image sensor in the case of the pattern recognition of image contents of a test specimen

机译:在对试样图像内容进行模式识别的情况下,对电子图像传感器进行信号评估的方法

摘要

A method for a signal evaluation of an electronic image sensor in the case of the pattern recognition of image contents of a test specimen, wherein said image sensor a light input signal and receives an electrical output signal which is correlated to the light input signal, characterised in that the light input signal is processed as follows,– Dividing the image of the test object in n × n arranged in a grid window (01) of the size n × n pixels (02),– Analysis of the image contents (03) of a window (01) of the size n × n pixels (02) by,– Conversion of the directly or indirectly by the image sensor output signal output into at least one trans modulation invariant feature value (08) by means of at least one computing rule (04, 07),– the computing algorithm (04) for the conversion of the signal of the image sensor into a modulation invariant feature value (08) is a two-dimensional mathematical spectrally transformation method (04), in particular a two-dimensional fourier -, or walsh -, or hadamard -, or circularly transformation,– Weighting of the feature value (08) with at least a fuzzy membership function (13), wherein the membership function (13) into functional relationship..
机译:一种用于在对试样图像内容进行模式识别的情况下对电子图像传感器进行信号评估的方法,其特征在于,所述图像传感器是光输入信号,并接收与光输入信号相关的电输出信号。如下进行光输入信号的处理:–将测试对象的图像划分为n×n排列在大小为n×n像素(02)的网格窗口(01)中; –分析图像内容(03 )大小为n×n像素(02)的窗口(01)通过以下方式:–通过至少将图像传感器输出信号输出直接或间接地转换为至少一个变换调制不变特征值(08)一个计算规则(04,07),用于将图像传感器的信号转换为调制不变特征值(08)的计算算法(04)是一种二维数学光谱变换方法(04)二维傅立叶-或沃尔什-或hadamard-或循环变换-至少具有模糊隶属度函数(13)的特征值(08)的加权,其中隶属度函数(13)具有函数关系。

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