When we previously introduced the iplimage structure, there was an important parameter-Roi. ROI is the region of interest. In fact, it is an instance of iplroi of the IPL/IPP (these two are inter libraries) structure. Iplroi includes xoffset, yoffset, height, width, and COI member variables. COI represents the channel of interest (Channel of interest ). The idea of ROI
When we use OPENCV, we sometimes need to trim existing images, such as just a small window of content, so we can get through the area of interest in OPENCV The Interest (ROI) is very easy to implement, the operation is very simple, first build a new iplimage picture, size for you need to cut out the size, and then set up a cvrect variable of that size, to set the
Cvcloneimage are also released with Cvreleaseimage, otherwise prone to memory leaks(4) setting, acquiring, and releasing ROI for an area of interest:Set the image Roi region void Cvsetimageroi (iplimage* image, Cvrect rect);//Release the image based on the given matrix settings roivoid Cvresetimageroi ( iplimage* image);//Returns the ROI coordinate cvrect cvge
reference of the ROI sub-image.
In this way, it is much easier to copy the ROI of an image to the specified region of another image. As shown in opencv
Rect r (1, 1, 10, 20); // specify the ROI sub-image area of SRCMat dstroi = DST (rect (, R. Width, R. Height); // get the reference of the sub-image in the specified
During image processing, we often need to process one or more areas of interest in the image. In opencv, we can easily obtain sub-images in the specified ROI Area. The following code demonstrates how to obtain a single ROI or multiple ROI image regions.
// Copy one or more ROI
] = 0 Why is this statement 101:301 instead of 100:300? I think it should be masking mask is more than the original image left and right up to 1, so mask masks about 2 more than the original image, up and down also more than the original image 2. Then 100 of the original image will naturally correspond to 101 of the mask, the same 300 of the original image will naturally correspond to the mask of 301.3. When the floodfill_mask_only is set, the original image will not change and will only fill th
The function for setting ROI on an image is:Cvsetimageroi (iplimage* src,cvrect rect); src represents the source image, and rect refers to the ROI region.If you want to cancel the ROI region, use the function:Cvresetimageroi (iplimage* src); This function cancels the ROI region on SRC.Example:#include "
This series of articles by the @yhl_leo produced, reproduced please indicate the source.Article Link: http://blog.csdn.net/yhl_leo/article/details/50593825
First look at the definition of the Rect object:
typedef rect_
Then look at the definition of rect_:
/*!
The 2D up-right Rectangle Class The class represents a 2D rectangle with coordinates of the specified data type.
Normally, Cv::rect ~ cv::rect_
From the above definition can be found at least two points: first, the class Rect_ class t
A small feature in the project that needs to implement a background substitution for a specific area of the video, write down a function like this:
void Bgreplace (mat dst, MATBG, Rect rec)
{
assert (Dst.size () ==bg.size ());
ASSERT (dst.depth () = = Bg.depth ());
DST (REC) = BG (rec). Clone ();//Can be deep and shallow
}
function, use rec to specify the area to be replaced, replacing DST's value for that region with the value of this zone for BG.But, unexpectedly, this function d
PPhoto = cvCreateImage (photo_size, IPL_DEPTH_8U, 1);
2. about setting the MASK parameter ROI of cvGoodFeaturesToTrack
CvRect rect = cvRect (3,120,100);
ROIs pooling as the name implies, is a pooling layer, but also for the ROIs pooling;The whole ROI process is to pull these proposal out of the process, get the size of a unified feature map.What is ROI? (Https://www.sogou.com/link?url=DOb0bgH2eKh1ibpaMGjuyy_CKu9VidU_Nm_z987mVIMm3Pojx-sH_PfgfR9iaaFcn666hxi--_g.)ROI is a shorthand for region of interest, referring
From: http://semwatch.org/2010/02/roi-management-and-client-demand/
Author: gaoge Date: February 26, 2010 category:Paid search SEM-2 comments
Zhang Zhiyong's Reply to "ROI management and Agent paradox" is very important, so I am reluctant to reply directly and use this reply to write another reply blog.
Zhang Tong said: "When I was working in the company, I especially emphasized that the execution team fo
Respect the author and reprint the website.
ROI Align is a regional feature aggregation method presented in MASK-RCNN this paper, which solves the problem of region mismatch (mis-alignment) caused by two quantization in ROI pooling operation. Experiments show that the replacement of Roi Pooling with ROI Align in the te
Whether in the picture display or in the process of finding corners in the optical flow method, we all encounter the ROI thing. Its role is to allow us to focus on the image or an area of the current video frame (which we call an area of interest) instead of processing the entire image or the entire video frame, not only eliminating unnecessary error disturbances, but also reducing the amount of computation. Next, describe how to set
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