This article mainly applies the built-in functions cascadeclassifier, load and detecmultiscale of opencv to implement real-time detection of human eyes on the camera!
# Include "opencv2/objdetect. HPP "# include" opencv2/highgui. HPP "# include" opencv2/imgproc. HPP "# include
The above two files can be found in path: D: \ Program Files \ opencv2.4.3 \ opencv
Edge Detection Based on OpenCv-Laplacian operator, scharr filter, and laplacianscharrLaplacian Operator Edge Detection
Original graph
Grayscale chart
Scharr filter Edge Detection
Original graph
X direction
Y direction
Scharr merge chart
1. Introduction to Laplacian Operators
Laplacian operator is a second-order d
Original address: opencv for iOS Study Notes (5)-mark Detection 2
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Void markerdetector: const extends svector contours, STD: vector
We have obtained a series of suspicious tags in the above method. To further confirm whether they are the tags we want, we also need the following three steps:
1. Remove the Perspective Projection to get the rectangle on the plane/front.
2. Use the Otsu alg
Source code: http://download.csdn.net/detail/nuptboyzhb/3961668
New Content in version 1.0.x
Video motion detection
Ø create menu items, learning opencv --> opencvr entry --> video motion detection
The menu items are set as follows:
Create a Class Wizard
ØEdit code
Voidccvmfcview: onmytestsport ()
{
// Todo: add your command handler codehere
// Alt + F8 sort ou
Canny edge detection
Iplimage * cvloadimage (const char * filename, int flags = cv_load_image_color );
The first parameter is the file name of the image to be loaded.
The second parameter specifies the color and depth of the image to be read,You can convert the input image into a channel (cv_load_image_color), a single channel (cv_load_image_grayscale), or a constant (cv_load_image_anycolor ).
Void cvkan (const cvarr * image, cvarr * edges, double t
Question about board point matching? Not considered because R and t have no effect on internal reference calibration. Set the upper left corner to the origin.
Note: it does not matter what the target is. The internal parameters obtained in the result are measured in pixels. The unit of T is the same as that of the target.
Liu Bo is indeed very powerful. After balancing, clever statistics have achieved the ideal threshold, which is quite robust to light !! Image processing is an art.
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1 # include "opencv2/imgproc. HPP "2 # include" opencv2/highgui. HPP "3 4 # include
[Opencv] 2. Edge Detection
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