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untitled2

于 2020-04-22 发布

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下载积分: 1 下载次数: 9

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说明：通过比较在预处理中选择了灰度变换增强、选择了中值滤波平滑、Sobel算子锐化并利用Ostu法阈值分割法进行分割；用了小波多尺度检测进行检测，最后计算出大桥裂缝的相关数据，在大桥桥梁裂缝检测方法与研究中可以较好的实现大桥桥梁裂缝图像的检测。(the gray-scale transform enhancement, median filter smoothing, Sobel operator sharpening are selected in the preprocessing, and the Ostu threshold segmentation method is used for segmentation; finally, the wavelet multi-scale detection is used for detection, which can better realize the detection of the bridge surface crack image in the bridge surface crack detection method and research.)

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untitled2.m, 12263 , 2020-04-22

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2jxiaobozhengqiang
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积分：1
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k均值聚类的动态分类算法灰度图和彩图的 (k-means clustering algorithm for the dynamic classification of grayscale and color)

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视网膜血管检测的Gabor变换和机器学习，教程本教程将演示如何Gabor变换和广义的线性模型（GLM）可用于视网膜血管检测图像。，我们将尝试检测视网膜血管从的训练图像，首先，Gabor滤波器与图像卷积。 GLM将使用Gabor变换的图像特征确定（独立变量）和容器的位置为结果（因变量）。( Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial This tutorial will demonstrate how Gabor transforms and generalized linear model (GLM) can be used for detection of retinal vessels in images. Specifically, we will attempt to detect the retinal vessels a training image , by first, convoluting multiple Gabor filters with the image. A GLM will be determined using the Gabor transformed images as features (the independent variables), and the locations of the vessels as the outcome (the dependent variable).)

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Gamma-correction
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积分：1

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