edge detection software

A lot of people call him the separation axis methodTheory derives from convex set separation theoremWikipedia on Hyperplane separation theoremHis content is that if you can find an axis, so that two objects on the axis of the projection does not overlap, then the two objects are disjoint.The point is how to find this axis.With each edge of the 2D graph as the split axis, 2 graphs are projected on the normals of the split axis, as long as there is no o

STM32 TIM input captures bilateral edge detection Tim_icpolarity_bothedge Come directly, first on the code: Initialize TIM1 input capture parameter Tim1_icinitstructure.tim_channel = tim_channel_1;//cc1s=01 Select input IC1 map to TI1 tim1_ icinitstructure.tim_icpolarity = Tim_icpolarity_bothedge; Tim1_icinitstructure.tim_icselection = Tim_icselection_directti; Map to TI1 on tim1_icinitstructure.tim_

This adds a complement to the edge pixels. Sobel Gradient Division noise resistance is good, but can not do automatic threshold, it is a great pity, Matlab is a good solution.Default 8-bit bitmap processing void Sobel (unsigned char *pin, int width, int height, unsigned char *pout) {//per row of pixels, the output image is the same as the input image int Lineby Te= (width+3)/4*4;//application output image buffer pout=new unsigned char[linebyte*height]

(v2f i): color{float3 lum = FLOAT3 (0.2125,0.7154,0.0721);//Convert to luminance luminance value//To get the points around the current point//And with the luminance dot product, Find the luminance value (black and white) float mc00 = dot (tex2d (_maintex, I.uv_maintex-fixed2 ()/_size). RGB, Lum); float MC10 = dot (tex2d (_maintex, I . UV_MAINTEX-FIXED2 (0,1)/_size). RGB, Lum); float mc20 = dot (tex2d (_maintex, I.uv_maintex-fixed2 ( -1,1)/_size). RGB, Lum) ; Float mc01 = dot (tex2d (_maintex, I

Robot. CPP: Defines the entry point of the console application.//#include "stdafx.h"Iplimage * Dopyrdown (iplimage* in, int filter = ipl_gaussian_5x5)//Use Cvpyrdown () to create an image with width and height as the general size of the input image{ASSERT (in->width% 2 = = 0 in->height% 2 = = 0);Iplimage * out = Cvcreateimage (Cvsize (IN->WIDTH/2, IN->HEIGHT/2), in->depth, in->nchannels);Cvpyrdown (in, out);/*This function implements the general dimensions of the created height and width for th

(v2f i): color{float3 lum = FLOAT3 (0.2125,0.7154,0.0721);//Convert to luminance luminance value//To get the points around the current point//And with the luminance dot product, Find the luminance value (black and white) float mc00 = dot (tex2d (_maintex, I.uv_maintex-fixed2 ()/_size). RGB, Lum); float MC10 = dot (tex2d (_maintex, I . UV_MAINTEX-FIXED2 (0,1)/_size). RGB, Lum); float mc20 = dot (tex2d (_maintex, I.uv_maintex-fixed2 ( -1,1)/_size). RGB, Lum) ; Float mc01 = dot (tex2d (_maintex, I

Recently, I started to learn opencv and made a small application using the self-developed opencv algorithm. I suddenly felt the wonders of computer vision.The procedure is as follows:1. Open the camera 2. Video Edge Detection 3. output the detected edge The program provides two slide bars. You can change the threshold value to observe the effect based on the actu

; -}Result Picture: If you change a picture, replace it with the following code: Const Char " d:\\work\\work_programming\\source\\image\\opencvexerciseimage\\ the 6th chapter \ \ eyes. jpg " ; /// ....... ); Homilies Miao DAO:A common application of ① Laplace operators is to detect "clumps", edge detectionThe ② source image can be either a 8-bit unsigned image or a

Android image processing system 1.4 image sharpening-Edge DetectionImage sharpening-Edge Detection: (Robert Gradient, Sobel Gradient, Laplace Gradient)@ Author: Zheng HaiboRelated blogs:1. http://blog.csdn.net/nuptboyzhb/article/details/79259942. http://blog.csdn.net/nuptboyzhb/article/details/79264071. Robert Gradient[Figure 1] 2. Sobel Gradient[Figure 2] 3. Lap

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

When edge extraction preserves the region of the image with drastic changes in grayscale, mathematically, the most intuitive method is differential, for the digital image is differential, from the point of view of signal processing, is to use high-pass filter, to retain HF signal. The following program uses Sobel operator, Laplace operator, canny operator to realize the edge

Http://www.cnblogs.com/tiandsp/archive/2013/04/20/3032860.html Three kinds of common edge detection operators. #include "cv.h" #include "highgui.h" using namespace CV; int main (int argc, char* argv[]) { Mat src = imread ("misaka.jpg"); Mat DST; Input image //output image //input Image Color channel number //x direction order number //y Di

#include According to the Hair Nebula's error, before reading the camera Sleep (1000) break 1s, remember # include Read notebook built-in camera and edge detection