OpenCV/opencv_contrib/modules/ximgproc/tutorials/prediction.markdown

Structured forests for fast edge detection {#tutorial_ximgproc_prediction}

Introduction

In this tutorial you will learn how to use structured forests for the purpose of edge detection in an image.

Examples

@note binarization techniques like Canny edge detector are applicable to edges produced by both algorithms (Sobel and StructuredEdgeDetection::detectEdges).

Source Code

@includelineno ximgproc/samples/structured_edge_detection.cpp

Explanation

-# Load source color image

@snippet ximgproc/samples/structured_edge_detection.cpp imread

-# Convert source image to float [0;1] range

@snippet ximgproc/samples/structured_edge_detection.cpp convert

-# Run main algorithm

@snippet ximgproc/samples/structured_edge_detection.cpp create
@snippet ximgproc/samples/structured_edge_detection.cpp detect
@snippet ximgproc/samples/structured_edge_detection.cpp nms

-# Show results

@snippet ximgproc/samples/structured_edge_detection.cpp imshow

Literature

For more information, refer to the following papers : @cite Dollar2013 @cite Lim2013