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Wavelet transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally th
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Image Color Reduction using SOFM network
Reduction of colors of digital images using self organizing feature maps (SOFM) neural network in MATLAB
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artificial neural network code for image using matlab version 2012
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采用C++语言编写的基于BP神经网络的手写体数字识别程序，使用方式为通过命令提示符向main函数传递待识别的图像的绝对路径。-Using C++ language through the command prompt is passed to the main function to be identified image handwritten digit recognition based on BP neural network program, use absolute paths.
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在利用脉冲耦合神经网络进行图像分割时，本方法是基于最大熵的方法对图像分割，具有很好的分割效果（从其他地方下载下来希望与大家共享）-This method is based on the maximum entropy method using pulse coupled neural network for image segmentation, image segmentation, segmentation (downloaded from elsewhere hope to share w
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BP神经网络用于函数拟合与模式识别，非常适合计算机视觉方面的研究使用,实现了图像的加水印，去噪，加噪声等功能。- BP neural network function fitting and pattern recognition, Very suitable for the study using computer vision, Realize image watermarking, de-noising, plus noise and other functions.
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BP神经网络用于函数拟合与模式识别，使用起来非常方便，利用matlab针对图像进行马氏距离计算 。- BP neural network function fitting and pattern recognition, Very convenient to use, Using matlab to calculate the Mahalanobis distance for the image.
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BP神经网络用于函数拟合与模式识别，Pisarenko谐波分解算法,利用matlab针对图像进行马氏距离计算 。- BP neural network function fitting and pattern recognition, Pisarenko harmonic decomposition algorithm, Using matlab to calculate the Mahalanobis distance for the image.
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利用mabtle平台采用卷积神经网， 用来做图像非均匀性校正，(Using the mabtle platform using convolution neural network, used to do image nonuniformity correction,)
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Using matlab to calculate the Mahalanobis distance for the image, There Wavelet Analysis Blind Signal Processing, The commonly used digital signal modulation based on artificial neural network.
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利用深度学习进行遥感图像场景分类
这里我们对NWPU-RESISC45数据集的场景图像进行分类
我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外，还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning
Here we classify scene images from NWPU-RESISC45 dataset
We apply
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采用神经网络进行图像分类，分类方法简单，但是效果略差。(Using neural network for image classification, the classification method is simple, but the effect is slightly poor.)
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