Learning OpenCV, 2nd Edition

if( Igray.empty() ){ cout << "Can not load " << argv[6] << endl; return -1; }

// Declare the output images

cv::Mat It, Iat;

// Thresholds

cv::threshold(

Igray,

It,

fixed_threshold,

255,

threshold_type);

cv::adaptiveThreshold(

Igray,

Iat,

255,

adaptive_method,

threshold_type,

block_size,

offset

);

// Show the results

cv::imshow("Raw",Igray);

cv::imshow("Threshold",It);

cv::imshow("Adaptive Threshold",Iat);

cv::waitKey(0);

return 0;

}

Smoothing

Figure 5-6: Gaussian blur on 1D pixel array

Smoothing, also called blurring, is a simple and frequently used image processing operation. There are

many reasons for smoothing, but it is often done to reduce noise or camera artifacts. Smoothing is also

important when we wish to reduce the resolution of an image in a principled way (we will discuss this in

more detail in the “Image Pyramids” section of this chapter).

OpenCV offers five different smoothing operations, each with its own associated library function, which

each accomplish slightly different kinds of smoothing.

The src and dst arguments in all of these functions are the usual source and destination arrays. After

that, each smoothing operation has parameters that are specific to the associated operation. ...