搜索资源列表
edge
- opencv中检测图像中物体的边缘，可以用过纹理识别出边缘-opencv object detection image edge texture, can be used to identify the edge
cannybar02
- 使用vc++6.0和OpenCV1.0.实现canny算子检测图像轮廓边缘。代码中有自动阈值滑动样条。-using VC++ and OpenCV. you can see the contour of the images.and the threshold of the canny operator can be set as you will.
test_Canny
- 程序代码用canny检测图像的边缘，效果还是可以的，大家可以-Program code using canny edge detection image, the effect is still possible, we can use
CV2
- 利用opencv进行图像特征抽取，包括使用高斯滤波和sobel算子进行边缘提取，使用harris算法进行角点检测，使用hough变换找出图像中最长直线，使用Ranec算法找出图像中直线，Gabor滤波-Using opencv image feature extraction, including the use of Gaussian filtering and Sobel operator edge extraction, Harris algorithm corner detection,
CV2_Learn_MorpFeature
- 使用opencv2写的，使用形态学滤波对图像进行边缘及角点的检测。-Use opencv2 write, using morphological filtering the image edge and corner detection.
segment
- 实用形态学滤波对图像进行腐蚀、膨胀、开闭、边缘及角点检测、分割，实用GrabCut算法提取前景物体-File: morphology.cpp correspond to Recipes: Eroding and Dilating Images using Morphological Filters Opening and Closing Images using Morphological Filters Files: morpho2.cpp morpho
HOG_OpenCV
- HOG即histogram of oriented gradient, 是用于目标检测的特征描述子，该技术将图像局部出现的方向梯度次数进行计数，该方法和边缘方向直方图、scale-invariant feature transform类似，不同的是hog的计算基于一致空间的密度矩阵来提高准确率。Navneet Dalal and Bill Triggs首先在05年的CVPR中提出HOG，用于静态图像or视频的行人检测。-HOG i.e. histogram of oriented gradien
bianyuan
- 图像的边缘提取,使用opencv2.4.4与vs2010,检测数图像中物体边缘-HOG extract
Sobel
- 基于opencv和vs2010的Sobel算法的实现，用于检测图像的边缘-Opencv and vs2010 achieve the Sobel algorithm for edge detection image
canny
- Canny 的目标是找到一个最优的边缘检测算法，最优边缘检测的含义是： 好的检测- 算法能够尽可能多地标识出图像中的实际边缘。 好的定位- 标识出的边缘要尽可能与实际图像中的实际边缘尽可能接近。 最小响应- 图像中的边缘只能标识一次，并且可能存在的图像噪声不应标识为边缘。-Canny goal is to find an optimal edge detection algorithm, the optimal edge detection means: Good test- a
canny
- canny算子边缘检测 提取图像边缘并显示-canny edge detection
haarcascade_eye_tree_eyeglasses
- 静态灰度图像里的人眼识别，canny边缘检测-static grey picture which eyedetect
edge
- 使用Visual Studio 2013和opencv开源库实现图像的边缘检测-Use Visual Studio 2013 and opencv open source library for image edge detection
Canny
- 适用于opencv初学者 canny边缘检测将输出写入一个单通道（灰度级）图像-Applicable to opencv beginners canny edge detection writes the output to a single channel (grayscale) image
main
- 对图像的边缘检测和对图像的腐蚀处理，已测试通过-Image edge detection and image processing
canny
- 实现图像的边缘检测，环境vs2013 或者2010 都可以。opencv2.4.9-To achieve the edge of the image detection, the environment can be 2020 or 2010. Opencv version 2.4.9
test
- 实现了opencv中的图像处理代码，图像滤波，形态学运算，图像的边缘检测(Realize the opencv image processing code, image filtering, morphological operations, image edge detection)
canny
- 图像的边缘检测的原理是检测出图像中所有灰度值变化较大的点，而且这些点连接起来就构成了若干线条，这些线条就可以称为图像的边缘。(The principle of edge detection of an image is to detect all the changes in the gray value of the image, and these points are connected to form a number of lines, these lines can be calle
test_edge_detection
- 对图像首先进行3*3内核平滑降噪，然后使用Canny算子做边缘检测(First perform 3*3 kernel smooth noise reduction on the image, then use Canny operator for edge detection)