搜索资源列表
HuMoments
- Hu 不变矩算法实现 基于opencv-Hu invariant moment algorithm based on opencv
main.cpp
- 利用opencv求解不变矩的演示程序 并进行图片分类 效果不错-Opencv solving the same moment the use of the demonstration program
RemoveBlackConnectedComponents
- 使用opencv去掉二值化图像中黑色面积较小的连通域。 程序中语句 tmparea = fabs(cvContourArea(contour)) 可以得到当前连通域的面积，当此面积小于阈值时对其填充为白色。 rect = cvBoundingRect(contour,0) 得到的是框住连通域的最小矩形，对矩形中的黑色部分将其填充为白色，但是这样的话，连通域6和4两个连通域被填充成了白色的矩形，这显然不符合我们的要求，这样就要判断此连通域是黑色联通域还是白色连通域，采用的方法是测试矩
HU.cpp.tar
- 利用opencv求解hu不变矩 得到的效果不错-cal the hu
mfc
- 利用opencv求不变矩，进而进行图像区分的演示程序-Using opencv seeking the same moment, and then the images to distinguish the demonstration program
mt
- 用opencv和c语言实现的不变矩计算，这里使用的是最原始的做法-Opencv and c language the moment invariants calculation used here is the most primitive
SIFT_VC
- 根据linderburg的尺度空间理论提取了尺度不变特征，包含图片，能够运行。-Extracted under linderburg scale space theory scale invariant feature, including pictures, be able to run.
bubianjumfc
- 不变矩测量的程序 mfc集成 需要配置opencv 效果还可以 -Moment invariant measurement procedures MFC integrated need to configure opencv The effect can also be
HandDetectionAndRecognition
- 本算法实现了基于手部颜色和手形的静态手势的检测和识别，特色有两点：（1）排除了面部区域后进行肤色检测（2）在手部候选区域分别提取轮廓，并求出Hu不变矩，将其与模板进行比较，排除类手形区域，进一步识别是何种手势-hand gestures detection and recognition based on skin colors and hand shapes
opencvHU
- opencv下提取HU不变矩，程序正确，可用-the opencv extraction HU invariant moments
cx
- SIFT（即尺度不变特征变换）算法其中一个必要的程序代码-The SIFT algorithm wherein a necessary program
MatchShapes
- 基于七个不变矩的图像匹配算法 能够识别具有一定相似度的图像-a image matching method
hu-moments
- 7个不变矩的C++程序，使用opencv，方便简单，便于运行。-Seven invariant moments C++ program, using opencv, convenient and simple, easy operation.
homework
- 该程序是利用vs2010平台编程，用以图像处理中测量七个Hu不变距。-The program is the use vs2010 platform programming for image processing measuring seven Hu invariant distance.
robwhess-opensift
- 基于局部不变特征的图像匹配。利用SIFT算法实现局部特征的检测与提取，再用RANSAC算法筛选特征点，提高正确的匹配率。-Based image matching local invariant features. Use SIFT algorithm to detect and local feature extraction, and then filtering feature points RANSAC algorithm to improve the correct match rat
vehicle-classfication
- 正确的程序，求图像不变矩，根据匹配度进行分类-Correct procedures for image invariant moments, classified according to the degree of match
rectangle
- 画矩形。点击鼠标左键并移动，松开后矩形保持不变，再点击矩形消失。-Draw the rectangle. Click the left mouse button and move, loosen the rectangular remains the same, after clicking the rectangle disappears.
imageMosaicsTest
- 基于opencv的尺度，旋转不变模板匹配-Opencv-based scale, rotation invariant template matching
SIFT
- SIFT，即尺度不变特征转换（Scale-invariant feature transform，SIFT）-Scale-invariant feature transform，SIFT
Emvisi2-master
- 跟踪算法代码，背景不变跟踪，opencv-Tracking algorithm code, change the background track, opencv