搜索资源列表
CannyTest
- 使用opencv库，通过调节阀值，来实现图片的轮廓提取(Using OpenCV library, through adjusting the threshold, to achieve the image contour extraction)
OpenCV模板匹配的方法识别手势
- 首先膨胀5个像素点，避免手指短截。接着选取最大轮廓，将最大轮廓重新画出来，过滤掉其它小轮廓，即背景噪声。 将二值化的图像转化成近似多边形。将手指边缘直线化。从而在第5步骤中去掉不需要的轮廓缺陷(Hand gesture recognition by template matching)
几个基于openCV开发的手势识别代码
- 获取轮廓凸包。OpenCV自带的工程，及之前提到的OpenCV轮廓凸包检测里面有很详细的解释(Contour convex hull. OpenCV comes with the project, and previously mentioned OpenCV contour convex hull detection, which has a very detailed explanation)
easycentroidpoint
- 提取二值图像的轮廓，根据hu矩求轮廓质心点(Extract the contour of the two value image, and calculate the contour centroid point according to the Hu moment)
OpenCamera
- windows平台下c++编写使用opencv+qt打开摄像头并显示轮廓的程序(Windows platform, c++ prepared to use opencv+qt to open the camera and display outline procedures)
手机提取
- 基于OpenCV的形态学操作，用于提取手机零件轮廓。(OpenCV based morphological operations, used to extract parts of mobile phones contour.)
nmn
- 读取一张图片 绘制灰度图 二值图 轮廓图等 用于图像识别(Read a picture, draw grayscale, two value map, contour map for image recognition)
颜色检测
- VS2013+opencv2.4.9检测颜色并画最大轮廓的框(SADFSAFSDSDFSDFSDDSFSDFSDFA)
FireDetection_src
- 火焰检测模型（MFC版本），轮廓处理有待改进，可尝试不同限制条件，优化程序(Flame detection model (MFC version), contour processing needs to be improved, you can try different restrictions, optimization procedures)
去掉黑色面积较小
- 基于opencv库，调用接口函数 筛选出不符合图像轮廓面积的点(A point that does not conform to the contour area of the image is selected)
二值化与细化
- 用于图像的二值化和细化 可以将图像的轮廓清晰的表现出来(For the two value of the image and thinning, the outline of the image can be clearly displayed)
python_work
- 采用python和opencv结合，简单的提取图片的轮廓，效果非常不错。(Using python and opencv combination, the simple extraction of the outline of the picture, the effect is very good.)
159.cpp
- 能识别多张图片中圆形轮廓的形状，可以快速识别比一般的Hough 圆检测快。(Recognizes the shape of a circular outline in multiple pictures to quickly identify faster detection than the average Hough circle.)
contoursmatch_cv
- 基于opencv实现轮廓匹配的代码，可以运行(Implement contour matching code with OpenCV)
contour
- 边缘检测，轮廓提取基本操作，VS 2013 64位仅供学习(Edge detection, outline extraction basic operation, VS 201364 bits for learning only)
main
- 在VS2015环境下基于opencv(计算机视觉开源库)开发的针对图像中感兴趣区域的轮廓提取(Contour extraction for regions of interest in images based on OpenCV (open source library of computer vision) under the VS2015 environment)
img_style
- 使用canny边缘检测算法，提取图像轮廓(Canny edge detection algorithm is used to extract image contour.)
carOpencv3.2
- 这个只是单纯的 通过对阀值还有 形态学滤波 +轮廓查找 筛选 的方式 对车牌进行 识别，特别是形态学滤波 对车牌的识别结果影响很大，这个只是找车牌的一种 普通方法，但对于初学 图像处理的图像来说 可以通过该项目去熟悉 图像处理的一般步骤 还有熟悉一些简单的图像处理方法。(This is simply based on the threshold and morphological filtering and contour search screening way on the license
simulate
- 形状是由图像的轮廓形成的，所以理论上形状识别是通常在边缘或轮廓检测后的步骤。(edge_based_matching The shape is formed by the outline of the image, so theoretically the shape recognition is usually the step after the edge or contour detection)
9：解决像素点生成后，需要手动操作的问题
- 对一副图像进行预处理，然后提取轮廓，再将轮廓进行像素点抽取。(The image is preprocessed, then the contour is extracted and the contour is extracted by pixel.)