Generating a black and white sketch
To obtain a sketch (black and white drawing) of the camera frame, we will use an edge detection filter, whereas to obtain a color painting, we will use an edge preserving filter (Bilateral filter) to further smoothen the flat regions while keeping edges intact. By overlaying the sketch drawing on top of the color painting, we obtain a cartoon effect, as shown earlier in the screenshot of the final app.
There are many different edge detection filters, such as Sobel, Scharr, Laplacian filters, or a Canny edge detector. We will use a Laplacian edge filter since it produces edges that look most similar to hand sketches compared to Sobel or Scharr, and are quite consistent compared to a Canny edge detector, which produces very clean line drawings but is affected more by random noise in the camera frames and therefore the line drawings would often change drastically between frames.
Nevertheless, we still need to reduce the noise in the image before we use a Laplacian edge filter. We will use a Median filter because it is good at removing noise while keeping edges sharp, but is not as slow as a Bilateral filter. Since Laplacian filters use grayscale images, we must convert from OpenCV's default BGR format to grayscale. In your empty cartoon.cpp file, put this code on the top so you can access OpenCV and STD C++ templates without typing cv:: and std:: everywhere:
// Include OpenCV's C++ Interface #include "opencv2/opencv.hpp" using namespace cv; using namespace std;
Put this and all remaining code in a cartoonifyImage() function in your cartoon.cpp file:
Mat gray; cvtColor(srcColor, gray, CV_BGR2GRAY); const int MEDIAN_BLUR_FILTER_SIZE = 7; medianBlur(gray, gray, MEDIAN_BLUR_FILTER_SIZE); Mat edges; const int LAPLACIAN_FILTER_SIZE = 5; Laplacian(gray, edges, CV_8U, LAPLACIAN_FILTER_SIZE);
The Laplacian filter produces edges with varying brightness, so to make the edges look more like a sketch, we apply a binary threshold to make the edges either white or black:
Mat mask; const int EDGES_THRESHOLD = 80; threshold(edges, mask, EDGES_THRESHOLD, 255, THRESH_BINARY_INV);
In the following figure, you see the original image (to the left) and the generated edge mask (to the right) that looks similar to a sketch drawing. After we generate a color painting (explained later), we also put this edge mask on top to have black line drawings:

- 程序員面試筆試寶典(第3版)
- 單片機C語言程序設計實訓100例:基于STC8051+Proteus仿真與實戰
- Apache Spark 2.x Machine Learning Cookbook
- Visual C++數字圖像模式識別技術詳解
- Learning RabbitMQ
- Android 7編程入門經典:使用Android Studio 2(第4版)
- C/C++數據結構與算法速學速用大辭典
- 玩轉.NET Micro Framework移植:基于STM32F10x處理器
- Oracle Data Guard 11gR2 Administration Beginner's Guide
- Machine Learning for OpenCV
- Elasticsearch搜索引擎構建入門與實戰
- Building Microservices with Go
- Raspberry Pi開發實戰
- Mastering Unity 2017 Game Development with C#(Second Edition)
- Mastering Linux Kernel Development