可支持印刷的色彩模式有CMYK模式、灰度模式、位图模式和双色调模式。
Colour Modes which support printing are CMYK Scale, Gray Scale, Bitmap Scale and Duotone Scale.
利用阶梯输出函数的各“台阶”记忆不同灰度，实现了灰度模式的CNN联想记忆。
Using the different steps of the multi-step output function to store different values of pixels, the CNN associative memory of gray-scale patterns is realized.
接下来的部分将介绍根据查找表和FRC 在灰度和彩色模式下的操作。
The following sections describe the operation on the gray and color mode in terms of the lookup table and FRC .
局部二值模式(LBP)是一种灰度范围内的纹理描述方式。
Local Binary Patterns (LBP) is defined as a gray-scale invariant texture measure.
将这种滤波器放置在傅里叶反变换产生相关输出之前的联合功率谱面上，该技术可以应用在具有不同灰度图像的模式识别中。
The filter is put on the power spectrum before applying the inverse Fourier transform to yield the correlation output. This technique can be used in pattern recognition of grey level input image.
通过土壤表层图像的中值滤波、图像模式转换和“坏区”过滤，提取图像的特征参数——灰度值，并对土壤表层图像的灰度值与其含水率的关系进行了试验研究。
After median filtering, image mode transforming, and "bad area" filtrating to images of soil layer, the authors extract the characteristic parameter of a image, that is gray-value, and c.
利用基于模式识别决策理论的最大类间距准则，给出了求解最佳分割灰度门限的方法。
In this paper, the method for the optimal gray threshold is given, which is based on the maximum class separation distance criterion of pattern recognitive decision theory.
该方法首先基于邻域灰度极值提取边界候选图像，然后以边界候选象素及其邻域象素的二值模式作为样本集，输入边缘检测神经网络进行训练。
The method uses a logical judgment algorithm to get edge candidate images, and then edge pixels and their neighbor pixels compose the binary samples of the BP neural network.
该方法首先基于邻域灰度极值提取边界候选图像，然后以边界候选象素及其邻域象素的二值模式作为样本集，输入边缘检测神经网络进行训练。
The method uses a logical judgment algorithm to get edge candidate images, and then edge pixels and their neighbor pixels compose the binary samples of the BP neural network.
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