opencv color detection

Original address: opencv for iOS Study Notes (4)-mark Detection 1 A simple tag is often a regular image consisting of a white block and a black block. Because we know these factors in advance, we can easily detect tags. First, we need to find the closed profile and then check our mark in the Rectangular profile. The following is the process for marking the monitoring pipeline: 1. Convert the input image

Previously, we used MATLAB to implement algorithms. Recently, we started to use opencv as a target tracking algorithm. We found that opencv is really powerful. It integrates many algorithms and encapsulates many functions, the method is similar to MATLAB, but it is more efficient than Matlab. The following describes the human body detection code using the hog alg

OpenCV Read the image sequence for hog pedestrian detection and saved as a video http://blog.csdn.net/masibuaa/article/details/160844672013-11-13 21:42 4273 People read comments (17) Collection Report Category: Computer Vision (OpenCV) Hog target detection (7) Copyright NOTICE: This article is the original article of

Pure reading, please visit OPENCV using the Harris Algorithm for corner detectionSourceKqwopencvfeaturesdemoA corner point is an intersection of two edges or a point that has several significant edge orientations in a local neighborhood. Harris Corner Point Detection is one of the most common techniques in corner detection.The Harris corner detector uses a sliding window on the image to calculate the bright

small, ignore it PrintCv2.contourarea (c)ifCv2.contourarea (c) "Min_area"]: Continue #compute the bounding box for the contour, draw it on the frame, #and update the text #calculates the bounding box of the outline, drawing the box in the current frame(x, Y, W, h) =Cv2.boundingrect (c) Cv2.rectangle (frame, (x, y), (x+ W, y + h), (0, 255, 0), 2) Text="occupied" #Draw the text and timestamp on the frame #write text and timestamp on the current frameCv

=59244hilit=tbb_debug.dll#p59244 , follow the URL given in the forum, download a TBB package, unzip Tbb_debug.dll to D:\Program FILES\OPENCV\BUILD\COMMON\TBB\IA32\VC10 (this is my installation directory). Error 3.Haha, the end of the code more than a}, delete it is good.Error 4.The compilation has passed smoothly, and now a debugging will findVery simply, the routines are estimated to run main () with CMD, and the parameters are tapped into the comma

Use the opencv functions surffeaturedetector and detect to detect interest points; Use the opencv function drawkeypoints to draw the detection key points. /** * @file SURF_detector * @brief SURF keypoint detection + keypoint drawing with OpenCV functions * @author A. Huaman

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

Tags: des style blog color Io OS ar Java >_ 1 # include "opencv2/imgproc. HPP "2 # include" opencv2/highgui. HPP "3 4 # include [Opencv] 2. Edge Detection

Opencv provides the pedestrain detection class. CV: definitions of parameters of the hogdescriptor class constructor: Cv_wrap hogdescriptor (): winsize (64,128), // detect window blocksize (16, 16), // block size blockstride (8, 8), // Slide Step cellsize (8, 8) of overlap block ), // cell size nbins (9), // Number of bin in the histogram derivaperture (1), // winsigma (-1 ), // perform Gaussian weighted

These days, we 've been stuck in the fast, surf, shift, brief, and ORB feature detection algorithms !!! All labs are in the previous blog. Opencv has already implemented them, so we will use opencv to test the effects of various methods, My original intention was match. The feature points detected by fast could not be extracted from descriptor !!! However, it is