roi

opencv学习——兴趣区选取

落花浮王杯 提交于 2019-12-27 03:03:31
在OpenCV中,普遍支持ROI和widthStep,函数的操作被限制于感兴趣的区域,要设置或者取消ROI,就要使用cvSetImageROI()和cvResetImage()函数.如过想设置ROI,可以使用函数cvSetImageROI(),并为其传递一个图像指针和矩形.而取消ROI,只需要为函数cvResetImageROI()传递一个图像指针 void cvSetImageROI( IplImage* image, CvRect rect ); void cvResetImageROI( IplImage* image ); 如例3.12,读取一幅图像,并设置了想要的ROI的x,y,width,和height的值,最后将ROI区域都加上了一个整数,本例程中,通过内联的cvRrect()构造函数设置ROI.通过cvResetIMageROI()函数释放ROI是非常重要的,否则将忠实的显示ROI区域 [cpp] view plain copy //例3.12 用imageROI来增加某范围的像素 #include "stdafx.h" #include <cv.h> #include <highgui.h> int _tmain( int argc, _TCHAR* argv[]) { IplImage* src; src = cvLoadImage( "C:/Users

Is Picture-in-Picture possible using OpenCV?

懵懂的女人 提交于 2019-12-24 14:46:25
问题 I would like to add a smaller image on top of a larger image (eventually for PiP on a video feed). I can do it by iterating through the relevant data property in the large image and add the pixels from the small image. But is there a simpler and neater way? I'm using EMGU. My idea was to define an ROI in the large image of the same size as the small image. Set the Large image equal to the small image and then simply remove the ROI. Ie in pseudo code: Large.ROI = rectangle defined by small

Copying a portion of an IplImage into another Iplimage (that is of same size is the source)

佐手、 提交于 2019-12-24 11:47:04
问题 I have a set of mask images that I need to use everytime I recognise a previously-known scene on my camera. All the mask images are in IplImage format. There will be instances where, for example, the camera has panned to a slightly different but nearby location. this means that if I do a template matching somewhere in the middle of the current scene, I will be able to recognise the scene with some amount of shift of the template in this scene. All I need to do is use those shifts to adjust

Daily 学习笔记(三)

流过昼夜 提交于 2019-12-24 09:17:18
1.ROI Pooling https://blog.csdn.net/auto1993/article/details/78514071 1⃣️ROI: regions of interest 2⃣️目标检测的典型框架结构: region proposal+classifition+regression 缺点:proposal阶段计算量大,速度慢;不是end-to-end training 3⃣️使用ROI Pooling的好处 加速training和testing过程;提高accuracy 4⃣️ROI Pooling 操作 输入:卷积层输出的feature maps + region proposal方法(如RPN)提出的候选框(或者说ROI)(每个用5个值表示,index,坐标, 长宽? ) (1)根据输入image,将ROI映射到feature map对应位置; (2)将映射后的区域划分为相同大小( 细节问题:无法恰好分好,舍弃还是重叠? )的sections(sections数量与输出的维度相同);怎么划分取决于输出维度 (3)对每个sections进行max pooling操作; ROI pooling总结: (1)用于目标检测任务;(2)允许我们对CNN中的feature map进行reuse;(3)可以显著加速training和testing速度;(4)允许end

Image Cropping using Predefined ROI Matlab

与世无争的帅哥 提交于 2019-12-24 07:14:52
问题 Basically what I'm trying to do is using predefined ROI's to crop and image into multiple new images. Longer is that I have a map of brain, with sections of it defined. using that I define many ROI's from it in MATLAB using imfreehand or roipoly. From there I have stained slides of these sections. I want to use the ROI's that I defined from the map to crop the image of the real brain into many new images. Just having trouble finding something that uses the ROI's as the cropping area and not

Get all the points in triangular ROI in a xy plane

自古美人都是妖i 提交于 2019-12-24 00:38:58
问题 Input: I have some 50000 points in a xy plane as shown in the below picture. Now, I need to get all the possible points in a triangular ROI. How to get it. It can can be opencv or Matlab. The below is the sample where I need to get the possible points of the triangular areas. 回答1: MATLAB has an inpolygon command: inpolygon. For example, this code xv = [0.1 0.4 0.15 0.1]; yv = [0 0.4 0.8 0]; x = rand(250,1); y = rand(250,1); in = inpolygon(x,y,xv,yv); plot(xv,yv,x(in),y(in),'r+',x(~in),y(~in),

Region of Interest in Video File

一个人想着一个人 提交于 2019-12-23 10:53:08
问题 This is my first time posting here and hoping for a positive result since my research is near its conclusion. I want to add in my code a function that will process only the defined region of interest of a video file. (I can't post image since I don't have yet a reputation but same question is posted here ---> http://answers.opencv.org/question/18619/region-of-interest-in-video-file/) Storyboard: I'm making a program in C++/OpenCV that will make the pedestrians and vehicles look that they are

Region of Interest in nighttime vehicle detection

蹲街弑〆低调 提交于 2019-12-22 00:09:58
问题 I am developing a project of detecting vehicles' headlights in night scene. I am working on a demo on MATLAB. My problem is that I need to find region of interest (ROI) to get low computing requirement. I have researched in many papers and they just use a fixed ROI like this one, the upper part is ignored and the bottom is used to analysed later. However, if the camera is not stable, I think this approach is inappropriate. I want to find a more flexible one, which alternates in each frame. My

OpenCV extract area of an image from a vector of squares

≯℡__Kan透↙ 提交于 2019-12-18 06:59:38
问题 I have an image that contains a square, and I need to extract the area contained in that square. After applying the squares.c script (available in the samples of every OpenCV distribution) I obtain a vector of squares, then I need to save an image for each of them. The user karlphillip suggested this: for (size_t x = 0; x < squares.size(); x++) { Rect roi(squares[x][0].x, squares[x][0].y, squares[x][1].x - squares[x][0].x, squares[x][3].y - squares[x][0].y); Mat subimage(image, roi); } in

How to apply image processing algorithms on the ROI labeled based on a binary mask in Matlab?

老子叫甜甜 提交于 2019-12-12 14:38:54
问题 I have a binary mask which labeled the foreground of image. Many image processing algorithms such as histogram equalization or otsu method deal with the whole image. My question is how to apply those image processing algorithms so that they can ONLY process the region which my binary mask labeled? For example, I is the grayscale image and BW is the binary mask. The code below still process the whole image rather than the specific region labeled by the BW mask. level = graythresh(I.*BW); BW =