canny algorithm

The format of the Canny operator is as follows: Canny Edge Detection Using the Canny algorithm void cvCanny( const CvArr* image, CvArr* edges, double threshold1, double threshold2, int aperture_size=3 ); Image Single-channel input image. Edges Output image of single-channel stora

Http://blog.sina.com.cn/s/blog_737adf530100z0jk.htmlOnce the image has been successfully opened for the first time using the OPENCV program, start experimenting with the second routine test: Canny edge detectionHere the algorithm principle and specific programming statements are regardless, because as a novice (anyway, I feel so), take some off-the-shelf program to run out the effect is very feel.First past

landscape photos, randomly extract another fragment, the size is 16x16 pixels, you might want to mark this fragment as T. The question they raised was how to pick a set of fragments from these 400 fragments, s[k], and, by superposition, synthesize a new fragment, and this new fragment should be as similar as possible to the randomly chosen target fragment, while the number of s[k] is as small as possible. To describe in a mathematical language is: Sum_k (a[k] * s[k])--T, where A[k] is the weigh

Document directory 1.1 cvkan 1.2 cvCreateTrackbar 1.3 CvTrackbarCallback [OpenCV Getting Started Guide] Part 3 "Canny edge detection" The principle of image edge detection is to detect all the gray-scale points in the image, and these points are connected to form several lines, which can be called the edge of the image. A multi-level edge detection algorithm developed by John F. Kan in 1986. Here, the

(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

(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

Implementing the drag of the video bar requires using the global variable g_slider_position, and the callback function Ontrackbarslider ().The drag bar is generated by the function Cvcreatetrackbar () function, which is called as follows:1 cvcreatetrackbar ("position",2 " Original",3 g_slider_position,4 Frames,5 ontrackbarslider); 6 }"Position" is the drag bar name, "Original" is the display window name, g_slider_position is the drag bar po

As the first-order differential of Gaussian function, the well balance between noise suppression and edge detection can be achieved. Environment: windows xp + matlab 2010b Time: The main steps to detect the edge of the canny algorithm are as follows: 1) filter with a 3x3 Gaussian filter to eliminate noise; 2) Calculate the differential approximation between the horizontal and vertical directions for each pi

Canny edge DetectionThe image edge Detection principle is to detect all the gray values in the image of the larger changes in the point, and these points are connected to form a number of lines, these lines can be called the edge of the image function Prototypes:void Cvcanny (Const cvarr* Image,//The first parameter represents an input image and must be a single-channel grayscalecvarr* edges,///The second parameter represents the edge image of the 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

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 Direction order Sobel (Src,dst,src.depth (), n); Imwrite ("Sobel.jpg", DST);

Java Virtual Machine garbage collection (ii) garbage collection algorithm mark-Purge algorithm replication algorithm mark-Collation algorithm generation collection algorithm train algorithm In the Java Virtual Machine garbage col

An algorithm is a set of well-defined rules that are used to solve a problem within a finite step. Popular point, that is, the process of computer problem solving. In this process, whether the formation of a problem-solving ideas or writing programs, are in the implementation of some kind of algorithm. The former is the algorithm of inference implementation, the

I didn't call the system function directly. It would be too watery. In fact, my Matlab code can be easily translated into C/C ++. There are a total of four parts: 1. Gaussian smoothing of the original image 2. Perform Sobel Edge Detection on

Java merge sort algorithm, bubble sort algorithm, selection sort algorithm, insert sort algorithm, description of Quick Sort Algorithm, java bubbleAn algorithm is a set of clearly defined rules used to solve a problem within a lim

Function E = canny_edge (I, SIGMA) % functione = edge, sigma, output as edge image E [M, N] = size (I); RR = m-1; CC = 2: n-1; E = repmat (logical (uint8 (0), m, n); % generates edge image e of the same size, initialized to 1, that is, initialized

Algorithm Is a set of clearly defined rules used to solve a problem within a limited step. In layman's terms, it is the process of solving computer problems. In this process, no matter whether it is a problem-solving idea or writing Program All are implementing certain algorithms. The former is an algorithm implemented by reasoning, and the latter is an algorithm