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The manner which calculates the luminosity level in the object domain of the digital x-ray image of medical application

机译:计算医学应用数字X射线图像物域内发光度的方法

摘要

It regards the manner which evaluates the level of the luminosity where this invention depends on the image histogram which uses neural network, in the object domain of the digital x-ray image of medical application. Calculation has, with the output value of the neural network which it converts and acquires and to the entry argument of neural network of image acquisition and image histogram calculation and histogram value. It is calculated as an entry argument of neural network, by the class width of given, it can use the histogram value which is normalized in the unit. Level of luminosity is calculated as linear function of output value of neural network. Neural network study, is done making use of the study set which was calculated on the basis of the image-database of given. It was calculated concerning object domain each image of the whole, scaling it was done vis-a-vis the range of activated function of the neuron in the output formation of neural network, it can use the level of luminosity, as set of set point.
机译:在医疗用途的数字X射线图像的物域中,考虑到本发明依赖于使用神经网络的图像直方图的发光度的评价方法。计算具有经过转换和获取的神经网络的输出值,并且具有图像获取和图像直方图计算以及直方图值的神经网络的输入参数。它被计算为神经网络的入口参数,通过给定的类宽度,可以使用以单位归一化的直方图值。发光度被计算为神经网络输出值的线性函数。使用基于给定图像数据库计算出的学习集进行神经网络学习。它是针对对象域整体的每个图像进行计算的,并根据神经网络输出结构中神经元激活功能的范围进行缩放,它可以使用亮度级别作为设定点集。

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