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图像处理之简单脸谱检测算法 Simple Face Detection Algorithm 介绍基于皮肤检测之. 一 什么是卷积离散卷积的数学公式可以表示为如下形式 f(x) = - 其中C(k)代. 图像处理之简单脸谱检测算法 Simple Face Detection Algorithm 介绍基于皮. GMT 8, 2017-4-9 00:24 , Processed in 0.104000 second(s), 26 queries .
爱乐眼底图像分析 - Powered by Discuz!
图像处理之简单脸谱检测算法 Simple Face Detection Algorithm 介绍基于皮肤检测之. 一 什么是卷积离散卷积的数学公式可以表示为如下形式 f(x) = - 其中C(k)代. 图像处理之简单脸谱检测算法 Simple Face Detection Algorithm 介绍基于皮. GMT 8, 2017-4-9 00:24 , Processed in 0.070856 second(s), 13 queries .
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图像处理之简单脸谱检测算法 - 工程实践 - 爱乐眼底图像分析 - Powered by Discuz!
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图像处理之简单脸谱检测算法 Simple Face Detection Algorithm 介绍基于皮肤检测之后的，寻找最大连通区域，完成脸谱检测的算法。 大致的算法步骤如下 原图如下 每步处理以后的效果 程序运行，加载选择图像以后 . 图像处理之简单脸谱检测算法 Simple Face Detection Algorithm. Image scaledImage = rawImg.getScaledInstance(200, 200, Image.SCALE FAST); / Java Image API， rawImage is source image. G2drawImage(scaledImage, 0, 0, 200, 200, null);. 对比度可以参见这里 http:/ blog.csdn.net/jia20003/article/details/7385160. Package com.gloomyfish.face.detection;. Import java.awt.image.BufferedImage;. Private double nContrast = 30;.
图像处理之像素格效果 - 算法研究 - 爱乐眼底图像分析 - Powered by Discuz!
http://www.eyeler.com/article-20-1.html
Comprocess.blur.study;. Javaawt.image.BufferedImage;. Size = size;. BufferedImage filter(BufferedImage src, BufferedImage dest) {. Width = src.getWidth();. Height = src.getHeight();. Dest = createCompatibleDestImage( src, null. GetRGB( src, 0. Width, height, inPixels );. Total = size*size;. NewY = (row/size) * size;. NewX = (col/size) * size;. OffsetX = newX size;. OffsetY = newY size;. SubRow =newY; subRow offsetY; subRow ) {. SubCol =newX; subCol offsetX; subCol ) {. SubRow = height) {. Tr = ( int.
图像处理之一阶微分应用 - 图像基础 - 爱乐眼底图像分析 - Powered by Discuz!
http://www.eyeler.com/article-17-1.html
一 数学背景首先看一下一维的微分公式Δf = f(x 1) f(x), 对于一幅二维的数字图像f(x,y)而言，需要完成XY两个方向上的微分，所以有如下的公式 分别对X,Y两个方向上求出它们的偏微分，最终得到梯度Delta F.对于 . 首先看一下一维的微分公式Δf = f(x 1) f(x), 对于一幅二维的数字图像f(x,y)而言，需要完. Package com.process.blur.study;. Import java.awt.image.BufferedImage;. X direction 1, 0. Y direction 0, 1. Public class ImageGradientFilter extends AbstractBufferedImageOp {. Public final static int X DIRECTION = 0;. Public final static int Y DIRECTION = 2;. Public final static int XY DIRECTION = 4;. Private boolean sharp;. NewX = 0;.
图像特效之三角几何应用 - 图像基础 - 爱乐眼底图像分析 - Powered by Discuz!
http://www.eyeler.com/article-19-1.html
一 基本的三角函数知识同样根据a, b的值可以计算出角度θ值，称之为反三角函数，角度θ=atan2(a, b)图像处理中应用三角函数常常把中心点设置为A点，任意像素点B到A的距离可以根据三角函数来计算得出，常见的计算模 . 同样根据a, b的值可以计算出角度θ值，称之为反三角函数，角度θ=atan2(a, b). CenterX = width/2;. CenterY = height/2;. TrueX = col -centerX;. TrueY = row -centerY;. TrueY),(trueX) ;. CenterX (newRadius * Math. NewY = centerY (newRadius * Math. NewX = centerX (radius * Math. NewY = centerY (radius * Math. GMT 8, 2016-8-25 09:47 , Processed in 0.188755 second(s), 17 queries .
图像放缩之双线性内插值 - 算法研究 - 爱乐眼底图像分析 - Powered by Discuz!
http://www.eyeler.com/article-22-1.html
D(x, y) = S(j, k) * a S(j 1, k) *b S(j 1,k 1) * c S(j, K 1) * d 公式一. Sx= Dx * (Sh/Dh) / row. Sy= Dy * (Sw/Dw) / column. 公式的详细说明参见这里 http:/ blog.csdn.net/jia20003/article/details/6907152. 计算出来的值是浮点数坐标，分别取整数部分坐标为(j, k), 小数部分坐标为(t, u). Q11 = S(j,k) * (1-t) S(j, k 1) * t;. Q22 = S(j 1, k) * (1-t) S(j 1,K 1) *t. D(x, y) = Q11*(1-u) Q22 * u; 把Q11, Q22带入,最终有等式:. D(x, y) = S(j, k) *(1-t)*(1-u) S(j, k 1)*t*(1-u) S(j 1,k)*(1-t)*u S(j 1,k 1)*t*u. RowRatio = ( float. ColRatio = ( float. SrcRow = ( float. T = srcRow j.
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CIELAB 颜色法 - 图像基础 - 爱乐眼底图像分析 - Powered by Discuz!
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CIE (Commission Internationale de l'Eclairage)是国际照明协会的简称，制定测量颜色的国际标准，对色值进行测定。 随着L*，a*，b*及E*的变化，角L*，角a*，角b*及角E*随着变化，而角 E*=角(角L*2 角a*2 角b*2)。 GMT 8, 2016-8-25 09:46 , Processed in 0.299965 second(s), 25 queries .
opencv访问Mat图像中每个像素的值 - OpenCV - 爱乐眼底图像分析 - Powered by Discuz!
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以下例子源自 The OpenCV Tutorials - Release 2.4.2 2.2 How to scan images, lookup tables and time measurement with OpenCV. 8226; MATLAB图像处理 位图切割. 8226; warning C4244: 参数 : 从 time t 转换到 unsigned int. 8226; 图像几何变换 缩放、旋转 中的插值算法. Mat& ScanImageAndReduceC(Mat& I, const uchar* const table). Accept only char type matrices. Int channels = I.channels();. Int nRows = I.rows ;. Int nCols = I.cols* channels;. NCols *= nRows;. NRows = 1;. For( i = 0; i nRows; i). P = Iptr(i);. For ( j = 0; j nCols; j). P[j] = table[p[j] ;.
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用2维匹配滤波器检测血管 - 血管分析 - 爱乐眼底图像分析 - Powered by Discuz!
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Chaudhuri S, Chatterjee S, Katz N, et al. DETECTION OF BLOOD-VESSELS IN RETINAL IMAGES USING TWO-DIMENSIONAL MATCHED-FILTERS[J]. 1989, 8(3): 263-269. GMT 8, 2016-8-25 09:46 , Processed in 0.259695 second(s), 26 queries .
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图像处理之简单脸谱检测算法 Simple Face Detection Algorithm 介绍基于皮肤检测之. 一 什么是卷积离散卷积的数学公式可以表示为如下形式 f(x) = - 其中C(k)代. 图像处理之简单脸谱检测算法 Simple Face Detection Algorithm 介绍基于皮. GMT 8, 2018-3-28 10:57 , Processed in 0.069789 second(s), 15 queries .
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