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贝叶斯分类器matlab版，可以用于图像分类，检索，模式识别相关工作-bayes classifier is useful to image classify
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图象 处 理和模式识别中经常根据物体的形状来识别物
体或对物体进行分类。形状特征可以分为区域特征和边界特
征两大类，矩不变量是最基本的形状特征。Hu提出的矩不变
量是图象区域内部细节的描述，是一种区域特征。它是建立
在对一个区域内部灰度值的统计分析基础上的，需要目标区
域的所有象素参与运算-Image processing and pattern recognition are often based on the shape of objects to identify o
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识别图像中的矩形，正方形，圆，椭圆，线，点，菱形-Identify the image rectangle, square, circle, ellipse, line, point, diamond
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The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extracti
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用BP神经网络对红细胞、白细胞、杆菌和盐结晶图片进行分类。使用Matlab自带函数。内附图像数据。-To classify four kinds of cell images using Matlab library. With image data inside.
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使用Matlab深度学习工具箱-googlenet 图像分类(Using GoogLeNet to classify images using deep learning toolbox)
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To classify four types of skin diseases such as Dermatitis, Melanoma, Diabetic foot ulcer, Impetigo,2 types of ML algorithms KNN and SVM are used. To get a visual representation of classifier output the ROC curve is plotted. To measure the performanc
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