<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Taiyang625的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Taiyang625</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Taiyang625]]></copyright><item><title><![CDATA[MFC Tabcontrl使用]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/143872206</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/143872206</guid><author>Taiyang625</author><pubDate>Tue, 19 Nov 2024 09:14:17 +0800</pubDate><description><![CDATA[【代码】MFC  Tabcontrl使用。]]></description><category></category></item><item><title><![CDATA[mfc 实现在图像上添加中文文字]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/140946926</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/140946926</guid><author>Taiyang625</author><pubDate>Tue, 06 Aug 2024 09:57:52 +0800</pubDate><description><![CDATA[主要实现在图片上写汉字。因为字符宽度的问题，OpenCV自带的cvInitFont和cvPutText函数不支持向图像中写入中文，所以用GDI+和位图操作实现。]]></description><category></category></item><item><title><![CDATA[halcon 模版匹配参数]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/140458157</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/140458157</guid><author>Taiyang625</author><pubDate>Tue, 16 Jul 2024 10:23:15 +0800</pubDate><description><![CDATA[3. 使用find_shape_model,在图2找到相同目标，返回目标位置：Row,Column,Angle三个参数。1. 已知图1和图2，在图1中取模版rect1，然后再图2中找到相同的目标rect2。A 和B的宽和高分别是(row1,col1),B和C之间的宽和高(row2,col2)4. 如下图所示：A是图1的原点。B是ROI中心点，B也是图2的原点。2. 从图1选择ROI即rect1作为模版,rect1中心点B，Row和Column的参数就是row2和col2.C是匹配到的目标的中心点。]]></description><category></category></item><item><title><![CDATA[# json]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/136802360</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/136802360</guid><author>Taiyang625</author><pubDate>Mon, 18 Mar 2024 10:41:09 +0800</pubDate><description><![CDATA[【代码】# json。]]></description><category></category></item><item><title><![CDATA[将ROI区域提取出来映射回原图]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/136341677</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/136341677</guid><author>Taiyang625</author><pubDate>Wed, 28 Feb 2024 11:31:00 +0800</pubDate><description><![CDATA[映射回原图时drawContours()的偏移量应为ROI区域左上角坐标在原图上的位置即为Point(boundRect[i].x, boundRect[i].y)或者利用rectangle画外接矩形映射回原图时，在左上角右下角坐标上都加上（偏移量ROI区域左上角坐标在原图上的位置），这样就能将对应的矩形框映射到原图的对应位置。1.API findContours()和drawContours()的最后一个参数Point offset = Point()即是点的偏移量。]]></description><category></category></item><item><title><![CDATA[频率域滤波]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/136338661</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/136338661</guid><author>Taiyang625</author><pubDate>Wed, 28 Feb 2024 10:18:55 +0800</pubDate><description><![CDATA[频域滤波]]></description><category></category></item><item><title><![CDATA[频域滤波去噪]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/136322864</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/136322864</guid><author>Taiyang625</author><pubDate>Tue, 27 Feb 2024 15:06:11 +0800</pubDate><description><![CDATA[傅里叶变换]]></description><category></category></item><item><title><![CDATA[【无标题】]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/136252382</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/136252382</guid><author>Taiyang625</author><pubDate>Fri, 23 Feb 2024 14:58:58 +0800</pubDate><description><![CDATA[世界坐标，图像坐标，转换]]></description><category></category></item><item><title><![CDATA[opencv 双目立体视觉]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/133794621</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/133794621</guid><author>Taiyang625</author><pubDate>Thu, 12 Oct 2023 17:38:55 +0800</pubDate><description><![CDATA[opencv]]></description><category></category></item><item><title><![CDATA[Halcon立体视觉code]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/133019023</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/133019023</guid><author>Taiyang625</author><pubDate>Tue, 19 Sep 2023 11:05:24 +0800</pubDate><description><![CDATA[halcon 立体视觉  双目视觉]]></description><category></category></item><item><title><![CDATA[双目立体视觉]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/132836853</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/132836853</guid><author>Taiyang625</author><pubDate>Tue, 12 Sep 2023 18:03:25 +0800</pubDate><description><![CDATA[视差，双目标定]]></description><category></category></item><item><title><![CDATA[【无标题】]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/132773764</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/132773764</guid><author>Taiyang625</author><pubDate>Sat, 09 Sep 2023 09:56:20 +0800</pubDate><description><![CDATA[【代码】【无标题】]]></description><category></category></item><item><title><![CDATA[bounding box线性回归]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/130406665</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/130406665</guid><author>Taiyang625</author><pubDate>Thu, 27 Apr 2023 15:05:34 +0800</pubDate><description><![CDATA[回归]]></description><category></category></item><item><title><![CDATA[灰度拉伸变换]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/130204979</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/130204979</guid><author>Taiyang625</author><pubDate>Mon, 17 Apr 2023 17:26:27 +0800</pubDate><description><![CDATA[图像，拉伸，灰度]]></description><category></category></item><item><title><![CDATA[尝试图像锐化]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/130204657</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/130204657</guid><author>Taiyang625</author><pubDate>Mon, 17 Apr 2023 17:19:10 +0800</pubDate><description><![CDATA[图像，锐化，拉普拉斯]]></description><category></category></item><item><title><![CDATA[# meanshift跟踪]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/129687935</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/129687935</guid><author>Taiyang625</author><pubDate>Tue, 21 Mar 2023 14:30:22 +0800</pubDate><description><![CDATA[对于所有样本点中的一个点x，计算它的shift vector，沿着shift vector移动，然后再计算x在移动后的位置上的新shift vector，再移动，直到最后到达终点了才算完。然后对所有点都进行一次这样的操作。如果不使用核函数的话，就要规定一个半径，然后根据半径内点的mean来计算shift vector；如果使用高斯核函数的话就不需要了，因为高斯核函数的效果就是让离得近的点权重大，离得远的点权重很小。]]></description><category></category></item><item><title><![CDATA[Kmean聚类]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/129687798</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/129687798</guid><author>Taiyang625</author><pubDate>Tue, 21 Mar 2023 14:24:29 +0800</pubDate><description><![CDATA[4.循环2、3两步，直到达到指定的循环次数或者满足退出循环条件时（如每次循环中心点移动距离小于某个值），退出循环，over。2.计算所有样本点到这些个中心点的距离，对于单个待测样本点，把它归类成和距离最近的中心点一类；3.聚类好所有样本点后，对聚到同一类的点再计算他们的中心点，更新中心点；1.随机初始化k个起始中心点；]]></description><category></category></item><item><title><![CDATA[图像阶矩及重心计算]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/129681209</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/129681209</guid><author>Taiyang625</author><pubDate>Tue, 21 Mar 2023 09:23:59 +0800</pubDate><description><![CDATA[这里的图像是单通道图像， V（i，j）V（i，j）表示图像在 (i,j)(i,j)点上的灰度值。我们可以发现，当图像为二值图时，  M00就是这个图像上白色区域的总和，因此，  M00可以用来求二值图像（轮廓，连通域）的面积。]]></description><category></category></item><item><title><![CDATA[查找最小圆]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/129660241</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/129660241</guid><author>Taiyang625</author><pubDate>Mon, 20 Mar 2023 08:49:10 +0800</pubDate><description><![CDATA[查找圆]]></description><category></category></item><item><title><![CDATA[激光三角测量法]]></title><link>https://blog.youkuaiyun.com/Taiyang625/article/details/129495957</link><guid>https://blog.youkuaiyun.com/Taiyang625/article/details/129495957</guid><author>Taiyang625</author><pubDate>Mon, 13 Mar 2023 15:51:01 +0800</pubDate><description><![CDATA[激光三角测量法 光学反射规律  相似三角形 ]]></description><category></category></item></channel></rss>