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Matlab多种图像边缘检测方法
1、用Prewitt算子检测图像的边缘
2、用不同σ值的LoG算子检测图像的边缘
3、用Canny算子检测图像的边缘
4、图像的阈值分割
5、用水线阈值法分割图像
6、对矩阵进行四叉树分解
7、将图像分为文字和非文字的两个类别
8、形态学梯度检测二值图像的边缘
9、形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-Matlab a variety of image edge detection method 1, u
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OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE
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利用神经网络进行车牌识别，图像先进行二值化，通过多次学习从而建立满足一定要求的识别网络。-License Plate Recognition using neural networks, the binary image before, through multiple learning to recognize the establishment of the network meet certain requirements.
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Segmentation function for matlab : this fucntion convert an intensity image to a binary image by using Entropy-based method.
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首先从视频中提取100张图片，用其中五十张图片根据平均值法获得背景图片，然后做差，二值化，提取目标。-First, extracting 100 images from the video ,using fifty pictures to obtain the background image with the method of average. Then frame difference, binary, extracting the target.
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缺陷识别m文件，对缺陷图像进行中值，小波去噪，利用数学形态学方法提取二进制图像轮廓，并计算裂纹等缺陷的面积和周长-M file defect identification, the value of the defect in the image, wavelet denoising, using mathematical morphology to extract the binary image contour, and calculates the cracks and other def
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提出了一种基于小波变换可抗击几何攻击算法。在水印嵌人
部分# 首先对宿主图像进行小波分解
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嵌人水印, 再通过余弦变换求得该水印图像的一个特征向量, 利用该特征向量和水印
信息通过12 31 函数生成一个二值逻辑系列, 将该序列作为密钥/ 水印提取部分为# 对待测的图像进行小波变换, 再通过余
弦变换求得待测图像的一个特征向量, 利用该特征向量和密钥通过1 2 4 1 函数提取出水印。-Proposed based on wavelet transform algorith
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利用matlab将输入的rgb图像转化为灰度图像后，利用阈值求的二值图像，边缘算子求的边缘图像，边缘图像求归一化不变矩，Hu矩。-Matlab input rgb image to grayscale image, using the binary image threshold seeking child seeking the edge of the image, the edge operator, the edge of the image seeking normalized inva
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用matlab编写的在png图像中隐藏并提取rgb图像和二值图像，注意隐藏的图像要小点，源图像png要大些-Png images using matlab hide and extract the rgb image and binary image, pay attention to the hidden image is smaller point source image png
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利用matlab开发工具实现将一幅灰度图像和索引图像转换为二值图像-Using matlab development tools to achieve a gray image and index the image conversion binary image is
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This Project is confined to identification of hand postures and to establish a man-machine interaction. The hand region in the image is detected and the number of active fingers is determined. In this approach, the input which is an image or a frame
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