外國不過十一，所以利用十一假期，看看他們都在干什么。一、小白問題http://answers.opencv.org/question/199987/contour-single-blob-with-multiple-object/

Contour Single blob with multiple object

Hi to everyone.

I'm developing an object shape identification application and struck up with separating close objects using contour, Since close objects are identified as single contour. Is there way to separate the objects?

Things I have tried:1. I have tried Image segmentation with distance transform and Watershed algorithm - It works for few images only2. I have tried to separate the objects manual using the distance between two points as mentioned in http://answers.opencv.org/question/71... - I struck up with choosing the points that will separate the object.

I have attached a sample contour for the reference.

Please suggest any comments to separate the objects.

分析：這個問題其實在閾值處理之前就出現了，我們常見的想法是對圖像進行預處理，比如HSV 分割，或者在閾值處理的時候想一些方法。

二、性能優化http://answers.opencv.org/question/109754/optimizing-splitmerge-for-clahe/

Optimizing split/merge for clahe

I am trying to squeeze the last ms from a tracking loop. One of the time consuminig parts is doing adaptive contrast enhancement (clahe), which is a necessary part. The results are great, but I am wondering whether I could avoid some copying/splitting/merge or apply other optimizations.

Basically I do the following in tight loop:

cv::cvtColor(rgb, hsv, cv::COLOR_BGR2HSV);
?
std::vector<cv::Mat> hsvChannels;
?
cv::split(hsv, hsvChannels);
?
m_clahe->apply(hsvChannels[2], hsvChannels[2]); /* m_clahe constructed outside loop */
?
cv::merge(hsvChannels, hsvOut);
?
cv::cvtColor(hsvOut, rgbOut, cv::COLOR_HSV2BGR);

On the test machine, the above snippet takes about 8ms (on 1Mpix images), The actual clahe part takes only 1-2 ms.

1 answer

You can save quite a bit. First, get rid of the vector. Then, outside the loop, create a Mat for the V channel only.

Then use extractChannel and insertChannel to access the channel you're using. It only accesses the one channel, instead of all three like split does.

The reason you put the Mat outside the loop is to avoid reallocating it every pass through the loop. Right now you're allocating and deallocating three Mats every pass.

test code:

#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
?
using namespace std;
using namespace cv;
?
int main(){
?
TickMeter tm;
Ptr<CLAHE> clahe = createCLAHE();
??? clahe->setClipLimit(4);
??? vector?<Mat> hsvChannels;
? ? Mat img, hsv1, hsv2, hsvChannels2, diff;
??? img?= imread("lena.jpg");
??? cvtColor?(img, hsv1, COLOR_BGR2HSV);
??? cvtColor?(img, hsv2, COLOR_BGR2HSV);
??? tm.start();
for (int i = 0; i < 1000; i++)
{
??????? split(hsv2, hsvChannels);
??????? clahe->apply(hsvChannels[2], hsvChannels[2]);
??????? merge(hsvChannels, hsv2);
}
??? tm.stop();
??? cout<< tm << endl;
??? tm.reset();
??? tm.start();
?
for (int i = 0; i < 1000; i++)?
{
??????? extractChannel(hsv1, hsvChannels2, 2);
??????? clahe->apply(hsvChannels2, hsvChannels2);
??????? insertChannel(hsvChannels2, hsv1, 2);
}
??? tm.stop();
??? cout<< tm;
??? absdiff(hsv1, hsv2, diff);
??? imshow("diff", diff*255);
??? waitKey();
}
我運行這段代碼的結果為：4.63716sec3.80283sec應該說其中關鍵的一句就是使用：extractChannel(hsv1,?hsvChannels2,?2);代替split(hsv2,?hsvChannels);能夠單句提高1MS左右時間，而這種費時的方法是我目前經常采用的，應該說這題很有較益。
三、基本算法

Compare two images and highlight the difference

Hi - First I'm a total n00b so please be kind. I'd like to create a target shooting app that allows me to us the camera on my android device to see where I hit the target from shot to shot. The device will be stationary with very little to no movement. My thinking is that I'd access the camera and zoom as needed on the target. Once ready I'd hit a button that would start taking pictures every x seconds. Each picture would be compared to the previous one to see if there was a change - the change being I hit the target. If a change was detected the two imaged would be saved, the device would stop taking picture, the image with the change would be displayed on the device and the spot of change would be highlighted. When I was ready for the next shot, I would hit a button on the device and the process would start over. If I was done shooting, there would be a button to stop.

Any help in getting this project off the ground would be greatly appreciated.

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This will be a very basic algorithm just to evaluate your use case. It can be improved a lot.

(i) In your case, the first step is to identify whether there is a change or not between 2 frames. It can be identified by using a simple StandardDeviation measurement. Set a threshold for acceptable difference in deviation.

Mat prevFrame, currentFrame;

for(;;)
{
? ? //Getting a frame from the video capture device.
? ? cap >> currentFrame;

? ? if( prevFrame.data )
? ? {
? ? ? ? ?//Finding the standard deviations of current and previous frame.
? ? ? ? ?Scalar prevStdDev, currentStdDev;
? ? ? ? ?meanStdDev(prevFrame, Scalar(), prevStdDev);
? ? ? ? ?meanStdDev(currentFrame, Scalar(), currentStdDev);

? ? ? ? ? //Decision Making.
? ? ? ? ? if(abs(currentStdDev - prevStdDev) < ACCEPTED_DEVIATION)
? ? ? ? ? {
? ? ? ? ? ? ? ?Save the images and break out of the loop.
? ? ? ? ? } ? ??
? ? }

? ? //To exit from the loop, if there is a keypress event.
? ? if(waitKey(30)>=0)
? ? ? ? break;

? ? //For swapping the previous and current frame.
? ? swap(prevFrame, currentFrame);
}

(ii) The first step will only identify the change in frames. In order to locate the position where the change occured, find the difference between the two saved frames using AbsDiff. Using this difference image mask, find the contours and finally mark the region with a bounding rectangle.

Hope this answers your question.

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這道題難道不是對absdiff的應用嗎？直接absdiff，然后閾值，數數就可以了。

四、系統配置

opencv OCRTesseract::create v3.05

I have the version of tesseract 3.05 and opencv3.2 installed and tested. But when I tried the end-to-end-recognition demo code, I discovered that tesseract was not found using OCRTesseract::create and checked the documentation to find that the interface is for v3.02. Is it possible to use it with Tesseract v3.05 ? How?

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How to create OpenCV binary files from source with tesseract ( Windows )

i tried to explain the steps

Step 1.download https://github.com/DanBloomberg/lepto...

extract it in a dir like "E:/leptonica-1.74.4"

run cmake

where is the source code : E:/leptonica-1.74.4

where to build binaries : E:/leptonica-1.74.4/build

click Configure buttonselect compiler

see "Configuring done"click Generate button and see "Generating done"

Open Visual Studio 2015 >> file >> open "E:\leptonica-1.74.4\build\ALL_BUILD.vcxproj"select release, build ALL BUILD

see "Build: 3 succeeded" and be sure E:\leptonica-master\build\src\Release\leptonica-1.74.4.lib and E:\leptonica-1.74.4\build\bin\Release\leptonica-1.74.4.dll have been created

---

Step 2.download https://github.com/tesseract-ocr/tess...

extract it in a dir like "E:/tesseract-3.05.01"

create a directory E:\tesseract-3.05.01\Files\leptonica\include

copy *.h from E:\leptonica-master\src into E:\tesseract-3.05.01\Files\leptonica\includecopy *.h from E:\leptonica-master\build\src into E:\tesseract-3.05.01\Files\leptonica\include

run cmake

where is the source code : E:/tesseract-3.05.01

where to build binaries : E:/tesseract-3.05.01/build

click Configure buttonselect compiler

set Leptonica_DIR to E:/leptonica-1.74.4\buildclick Configure button againsee "Configuring done"click Generate button and see "Generating done"

Open Visual Studio 2015 >> file >> open "E:/tesseract-3.05.01\build\ALL_BUILD.vcxproj"build ALL_BUILD

be sure E:\tesseract-3.05.01\build\Release\tesseract305.lib and E:\tesseract-3.05.01\build\bin\Release\tesseract305.dll generated

---

Step 3.create directory E:\tesseract-3.05.01\include\tesseract

copy all *.h files from

E:\tesseract-3.05.01\api

E:\tesseract-3.05.01\ccmain

E:\tesseract-3.05.01\ccutil

E:\tesseract-3.05.01\ccstruct

to E:/tesseract-3.05.01/include\tesseract

in OpenCV cmake set Tesseract_INCLUDE_DIR : E:/tesseract-3.05.01/include

set tesseract_LIBRARY E:/tesseract-3.05.01/build/Release/tesseract305.lib

set Lept_LIBRARY E:/leptonica-master/build/src/Release/leptonica-1.74.4.lib

when you click Configure button you will see "Tesseract: YES" it means everything is OK

make other settings and generate. Compile ....

flag offensive link 禾路按語：OCR問題，一直都是圖像處理的經典問題。那么tesseract是這個方向的非常經典的項目，包括east一起進行結合研究。
五、算法問題

Pyramid Blending with Single input and Non-Vertical Boundar

Hi All,

Here is the input image.

Say you do not have the other half of the images. Is it still possible to do with Laplacian pyramid blending?

I tried stuffing the image directly into the algorithm. I put weights as opposite triangles. The result comes out the same as the input.My another guess is splitting the triangles. Do gaussian and Laplacian pyramid on each separately, and then merge them.

But the challenge is how do we apply Laplacian matrix on triangular data. What do we fill on the missing half? I tried 0. It made the boundary very bright.

If pyramid blending is not the best approach for this. What other methods do you recommend me to look into for blending?

Any help is much appreciated!

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Comments

the answer is YES.what you need is pyrdown the images and lineblend them at each pyramid

jsxyhelu?(26 hours ago)edit

Thank you for your comment. I tried doing that (explained by my 2nd paragraph). The output is the same as the original image. Please note where I want to merge is NOT vertical. So I do not get what you meant by "line blend".

這個問題需要實現的是mulitband blend,而且實現的是傾斜過來的融合，應該說很奇怪，不知道在什么環境下會有這樣的需求，但是如果作為算法問題來說的話，還是很有價值的。首先需要解決的是傾斜的line bend,值得思考。
六、新玩意

DroidCam with OpenCV

With my previous laptop (Windows7) I was connecting to my phone camera via DroidCam and using videoCapture in OpenCV with Visual Studio, and there was no problem. But now I have a laptop with Windows 10, and when I connect the same way it shows orange screen all the time. Actually DroidCam app in my laptop works fine, it shows the video. However while using OpenCV videoCapture from Visual Studio it shows orange screen.

Thanks in advance

retag flag offensive add a commentDisable laptop webcam from device manager and then restart. Then it works
七、算法研究

OpenCV / C++ - Filling holes

Hello there,

For a personnel projet, I'm trying to detect object and there shadow. These are the result I have for now:Original:?

Object:?

Shadow:?

The external contours of the object are quite good, but as you can see, my object is not full.Same for the shadow.I would like to get full contours, filled, for the object and its shadow, and I don't know how to get better than this (I juste use "dilate" for the moment).Does someone knows a way to obtain a better result please?Regards.

有趣的問題，研究看看。

?

??

來自為知筆記(Wiz)

轉載于:https://www.cnblogs.com/jsxyhelu/p/9752650.html

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