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How to make auto-adjustments(brightness and contrast) for image Android Opencv Image Correction

 1: /**

 2:  * \brief Automatic brightness and contrast optimization with optional histogram clipping

 3:  * \param [in]src Input image GRAY or BGR or BGRA

 4:  * \param [out]dst Destination image 

 5:  * \param clipHistPercent cut wings of histogram at given percent tipical=>1, 0=>Disabled

 6:  * \note In case of BGRA image, we won't touch the transparency

 7: */

 8: void BrightnessAndContrastAuto(const cv::Mat &src, cv::Mat &dst, float clipHistPercent=0)

 9: {

 10:  

 11: CV_Assert(clipHistPercent >= 0);

 12: CV_Assert((src.type() == CV_8UC1) || (src.type() == CV_8UC3) || (src.type() == CV_8UC4));

 13:  

 14: int histSize = 256;

 15: float alpha, beta;

 16: double minGray = 0, maxGray = 0;

 17:  

 18: //to calculate grayscale histogram

 19: cv::Mat gray;

 20: if (src.type() == CV_8UC1) gray = src;

 21: else if (src.type() == CV_8UC3) cvtColor(src, gray, CV_BGR2GRAY);

 22: else if (src.type() == CV_8UC4) cvtColor(src, gray, CV_BGRA2GRAY);

 23: if (clipHistPercent == 0)

 24: {

 25: // keep full available range

 26: cv::minMaxLoc(gray, &minGray, &maxGray);

 27: }

 28: else

 29: {

 30: cv::Mat hist; //the grayscale histogram

 31:  

 32: float range[] = { 0, 256 };

 33: const float* histRange = { range };

 34: bool uniform = true;

 35: bool accumulate = false;

 36: calcHist(&gray, 1, 0, cv::Mat (), hist, 1, &histSize, &histRange, uniform, accumulate);

 37:  

 38: // calculate cumulative distribution from the histogram

 39: std::vector<float> accumulator(histSize);

 40: accumulator[0] = hist.at<float>(0);

 41: for (int i = 1; i < histSize; i++)

 42: {

 43: accumulator[i] = accumulator[i - 1] + hist.at<float>(i);

 44: }

 45:  

 46: // locate points that cuts at required value

 47: float max = accumulator.back();

 48: clipHistPercent *= (max / 100.0); //make percent as absolute

 49: clipHistPercent /= 2.0; // left and right wings

 50: // locate left cut

 51: minGray = 0;

 52: while (accumulator[minGray] < clipHistPercent)

 53: minGray++;

 54:  

 55: // locate right cut

 56: maxGray = histSize - 1;

 57: while (accumulator[maxGray] >= (max - clipHistPercent))

 58: maxGray--;

 59: }

 60:  

 61: // current range

 62: float inputRange = maxGray ...

Fill in the keyword: restsharp, and then click the installation button

Given a set of connected points, where they are filled with red color. And we arrange these points in a rectangle and those blue points are down-sampled points of them. If we move one of blue points, how do we update those neighborhood of it? 1. first, find the neighborhood points that are close enough to pt1, in which their Eucliden distances to Pt1 should be less than ε 2. calculate the movement between Pt1 and Pt1’, and name it as D

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Today I reveiewed Observer Pattern – Design Pattern (Using C#) and have finished watching Observer Design Pattern tutorial.
As usual, I implemented the example in C# instead of JAVA.

What is the Visitor Design Pattern ? 1. Allows you to add methods to classes of different types without much altering to these classes. 2. You can make completely different methods depending on the class used.

A useful tutorial that help you understand about Interpreter Pattern. 008 Interpreter Pattern Another useful stuff about Interpreter Pattern, but the speaker hadn`t used C# for implementation. The Interpreter Pattern Revisited

What is flyweight pattern? 1. Used when you need to create a large number  of similar objects 2. To reduce memory usage you share objects that are similar in some way rather than creating new ones Now we are going to create a lot of rectangles with specific Intrinsic State: Color <---- which all of the rectangle objects are going to share in order to get the