opencv color detection

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 Relevance search 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

This tutorial is actually a summary of the previous article, using FEATURES2D and Calib3d modules to discover objects in the scene ~ ~ 1, Create a new console project. Read the input images. Mat img1 = Imread (argv[1], cv_load_image_grayscale); Mat Img2 = Imread (argv[2], cv_load_image_grayscale); 2, Detect keypoints in both images. Detecting Keypointsfastfeaturedetector Detector ();vector 3, Compute descriptors for each of the keypoints.

#include"stdafx.h"#defineMax_corners 20intMain () {intCornernum =max_corners; VectorCorner; DoubleQualitylevel =0.05; DoubleMindistance =5; Doublescalar =0.5; Mat SRCIMG,SRCIMG1; Mat Grayimg,grayimg1,grayimg2; Mat disimg; inti; //videocapture Video ("e:\\c_vc_code\\text_photo\\feini.flv");Videocapture Video (0); if(!video.isopened ()) { return-1; } Video>>srcimg; Resize (srcimg,srcimg1,size (Srcimg.cols*scalar,srcimg.rows*scalar),1,1,3); Cvtcolor (Srcimg1,grayimg,cv_bgr2gray,1);

plate to detect these external rectangles, in line with the license plate feature is the license plate area. Neither of the two methods can be adaptively adapted to the size of the license plate in the graph due to the distance between shooting distances.two methods the different parts are : ① method One uses the Sobel to extract the edge, the method two uses the morphological gradient method to extract the edge; The ② method uses the color of the li

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.

In the previous article "OpenCV Article 10 grayscale histogram equalization", we introduced the histogram equalization of grayscale images. in actual life, it is certainly the most commonly used color images. Therefore, this article introduces the histogram equalization of color images. In this way, histogram equalization can give you an intuitive impression on t

JAVA+OPENCV Color Recognition Recently in the project involved in the image recognition, the use of third-party detection is OPENCV, in view of the online use of Java to do a very small amount of information, so I wrote this blog, I hope the students a little help later!Note: Col