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这是用于计算图像像素欧式距离的源代码，是一个比较简单的代码-It is used to calculate the image pixel Euclidean distance of the source code, is a relatively simple code
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代码用于图形图像的像素点欧几里得距离计算转换等工作-Code for the graphic image of the Euclidean distance-based pixel conversion, etc.
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摘要：拐点是数字图像中的一个重要信息载体 提出一种新的拐点检测算法 该算法并非寻找连续空间中曲率的离散近似计算方法，而是源于离散曲线的外观特征，推导出离散曲线上拐点处k个点对间欧氏距离平方和局部最小这一重要性质。基于该性质，本算法首先利用Freeman链码的性质.过滤掉物体边界上明显不可能成为拐点的象素，然后在剩余的边界点中通过寻找该局部最小值定位出拐点。给出了本算法与四种著名拐点检测算法的对比实验。
-Abstract: The inflection point is a digital
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一种车牌号码图像二值化的新方法。利用数学形态学的开运算消除图像光照不均匀影响，根据欧几里得距离确定图像阈值。-Of a license plate number of the new image binarization method. Using mathematical morphology opening operation to eliminate uneven lighting image effects, according to Euclidean distance to dete
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用visual C++ 编写的基于内容的图像检索系统，主要是通过颜色直方图和欧式距离的-Using visual C++ written in content-based image retrieval system, primarily through color histogram and the Euclidean distance of the
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图像处理的程序，计算欧几里德距离，形态学的方法-Image processing procedures, computing Euclidean distance, morphological method
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基于欧氏距离求解带状区域二值图的目标区域宽度-Solving Euclidean distance-based binary image of the band region the width of the target area
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图像分割处理：Roberts,Sobel,LOG,Prewitt算子处理，街区距离方法，欧几里得距离方法，边缘提取，去噪-Image segmentation: Roberts, Sobel, LOG, Prewitt operator handling, block distance method, Euclidean distance method, edge detection, noise reduction
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本程序主要是通过模板匹配的方法来对LED显示模块上的每个灯进行亮度检测。主要是根据模板图像和已知的图像的欧氏距离来进行检测。-This procedure is mainly through template matching method to the LED display module detects the brightness of each lamp. Mainly based on the template image and the known image of the Eucl
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Euclidean distance algorithm, C + +, and can be used directly, suitable for image professional friends
-Euclidean distance algorithm, C++, and can be used directly, suitable for image professional friends
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利用欧氏距离计算三维模型的中轴，希望对大家有用！-Medial Axis (MA), also known as Centres of Maximal Disks, is a useful representation of a shape for image descr iption and analysis.
MA can be computed on a distance transform, where each point is labelled to its distance t
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SIFT keypoints of objects are first extracted from a set of reference images[4] and stored in a database. An object is recognized in a new image by individually comparing each feature from the new image to this database and finding candidate matching
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程序按照随即生成若干个点作为点坐标 ，根据欧式距离 进行聚类分析 ，图像处理对象是灰度值，这里是用随即生成的点做例子 展示，这个程序有界面！-Procedures in accordance with the randomly generated a number of points as the point coordinates, cluster analysis based on Euclidean distance, the image processing is the gray va
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利用索贝尔算子两种模板提取图像梯度，幅度选取分别利用欧式距离、城区距离和棋盘距离。-Using two templates of Sobel operator to extract the gradient of a image. Magnitude was selected by using Euclidean distance, city distance and chessboard distance.
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字符识别的源码，可识别数字和英文。包括图像处理和模式识别的内容。图像处理包含转灰度图、二值化、滤波、细化、分割、规格化等。模识别部分包含欧式距离的模板匹配和BP神经网络。-Character recognition source code, can recognize numbers and English. Including image processing and pattern recognition. Contains to grayscale image processing, bi
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基于K-L变换的人脸识别技术主要思想是：提取输入人脸图像矩阵的特征向量，并与图像数据库中样本特征的向量求欧氏距离，距离小于阈值时便认为识别成功。本程序即为利用K-L原理实现人脸检测的实例。-The main idea of the face recognition technology based on KL transform is: extract the matrix of the input face image feature vectors and Euc
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Face Recognition System based on LabVIEW
The general process is as follows. Firstly, the original data is captured by a web camera and then transferred from RGB color space to YUV color space, where it is easier to tell the skin area from non-skin
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本系统通过将基于改进的加权的局域颜色直方图的图像检索方法和全局直方图的图像检索方法相结合，提高查全率和查准率。其中，基于分块局域直方图的检索方法利用了图像中间部分的重要性，将图像平均划分成3×3个子块，取中间一块的图像，计算其与参考位图相应位置的颜色特征距离，再计算原图的颜色直方图与参考位图的颜色特征距离，分别赋予权值后得出的值就是图像之间内容的相似程度。本文引入欧氏距离的相似性度量方法实现图像检索。实验表明，该方法具有较好的查全率和查准率。-The system through a combi
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对彩色图像进行分层，并且使用欧式距离和马氏距离作为辅助计算，效果很好。-Stratified, the color image and use the Euclidean distance and Mahalanobis distance as an auxiliary, the effect is very good.
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This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq
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