opencv scalar

image that captures the edge, the edge Map. will also be puzzled, with canny, why superfluous looking for outlines. Next I will introduce the main character of this chapter hierarchy hierarchy relationship. First look at a modified code: for (int0; i ) { if (hierarchy[i][3] = =1) { drawcontours (img, contours, I, Scalar (00255180, point ()); } } In this code, there is a conditional s

reproduced from: http://www.xuebuyuan.com/2148247.html OpenCV One of the matrix classes: Mat Summary The mat class can be viewed as a matrix class in the C + + version of OpenCV, replacing the original C-version matrix structure Cvmat and the image structure iplimage; Mat's biggest advantage with STL compatibility is very good, there are many similar to STL operation. But Mat is far stronger than the

a grayscale value, and the scalar (a,b,c) is a color value. Vi. arithmetic operations of imagesThe Mat class overloads many of the arithmetic operators, allowing them to conform to some of the Matrix's operations, such as the + 、-、 dot multiplication. Let's take a look at the bit operations and basic arithmetic operations to complete the Colorreduce program in this article, which is simpler and more efficient. Dropping 256 grayscale levels down to 64

don't know how to use the reserve function to open up. This statement runs for about 100 ms. Let's look at this code again today and find that I am too stupid. Why should we use vector Mat test1 = mat _ The result only takes 0.2 ms !!! Comrades, STL seems so powerless in front of mat! I decided to spend a few days reading the core of the reference to thoroughly understand the opencv data structure. We also feel that mat is compatible with STL, an

The story of face recognition can't be told. Let's leave the investigation to everyone. Here we are talking about face recognition with opencv. Because it is real face recognition and not funny entertainment, the database must be powerful. We recommend a website http://www.face-rec.org/databases /. Here is an overview of the most comprehensive face database. I hope you can find the desired face Library (PS: I need a 3D face library, but I don't know w

The second chapter describes how to implement the calibration-based Augmented reality on the iOS platform, including the following four aspects: 1. Build opencv project on iOS platform 2. Marker Detection and Recognition 3. Camera Calibration and marker pose estimation 4. rendering a 3D virtual object based on marker The first part is the development of the iOS platform. I am not too concerned about it. The fourth part is the establishment of a 3D vir

It is also interesting to draw cartoons with opencv when you are idle, although the effect is not good (it cannot achieve the effect achieved above ), The parameter needs to be adjusted. It is more suitable for images with large sizes and low noise. You can also familiarize yourself with various filtering operations, such as bilateral filtering; # Include "CV. H "# include" highgui. H "using namespace CV; using namespace STD; int main () {string name

OpenCV getting started, opencvOpenCV getting started-Key Point description child matching Flann-basedCompared with the preceding descriptor, Flann-based matcher uses a fast approximate Nearest Neighbor Search Algorithm to train the matcher using images before matching, thus speeding up TODO detection ).What is it Flann? FLANN is a library for faster Ming fast approximate nearest neighbor searches in high dimen1_spaces. it contains a collection of algo

The main implementation of this paper is to display grayscale images and color images with matplotlib. Some students in the use of matplotlib display color images, will get undesirable effects, specific reasons and solutions please see below. 1. matplotlib Display grayscale Images Import Cv2 from matplotlib import pyplot as Plt img = cv2.imread (' test.jpg ', 0) plt.imshow (img, cmap = ' gray ') #plt. Xticks ([]), Plt.yticks ([]) #去除横纵坐标 plt.show () 2. Matplotlib Display color image Somet

Ubuontu16.04 process and use find_package () error messages caused by installing Opencv library, ubuontu16.04opencv After installing the Opencv library, test whether the Opencv library is successfully installed. The following example shows the corresponding. cpp code and the corresponding cmakelists.txt code: . Cpp file: 1 #include CMakeLists.txt file: 1 cmake_

, point (211,212),5, Scalar (0,0,0), thickness, linetype); Circle (Image, point (441,412),5, Scalar (0,0,0), thickness, linetype); Circle (Image, point (311,312),5, Scalar (0,0,0), thickness, linetype); Circle (Image, point ( One, A),5, Scalar (255,255,255), thickness, linetype); Circle (Image, point ( +, A),5,

http://ronny.blog.51cto.com/8801997/13941152014-04-11 13:47:27Tags: OpenCV histogram table original works, allow reprint, when reproduced please be sure to use hyperlinks in the form of the original source of the article, author information and this statement. Otherwise, the legal liability will be investigated. http://ronny.blog.51cto.com/8801997/1394115, the concept of image histogramImage histogram is a statistical table that reflects an image pixe

OpenCV getting started, opencvOpenCV getting started-Key Point description child match Brute-forceThe keypoint descriptors matching is performed after the feature vectors are extracted from the image to determine the matching degree between the specific image and the image in the training set. The BFMatcher Brute force matching class inherits from the abstract class DescriptorMatcher, "Brute-force descriptor matcher. for each descriptor in the first s