搜索资源列表
Priwit--picture
- 在OPENCV中利用Priwit 算法进行图像边缘提取操作-Priwit algorithm using OPENCV edge extraction operation in the image
canny
- 基于vc ++ 6.0和openCV图像边缘提取canny算法-Based on vc++ 6.0 & openCV image edge extraction canny algorithm
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
pictureCanny
- 用OpenCV进行边缘检测，载入图像，转换成灰度图，再对图像模糊降噪，然后边缘检测-Edge detection using OpenCV, loading images, converted to grayscale, and then blur the image denoising, and then edge detection
【56】canny函数用法示例
- opencv边沿检测，在vs平台下可运行，内有代码和示例图片(opencv edge detection)
canny
- 进行边缘检测，使用OpenCv进行canny边缘检测。(Border detection.Using OpenCv for canny edge detection.)
canny
- python-opencv的canny边缘检测代码(Python-opencv Canny edge detection code)
边缘检测1
- 基本的边缘检测算法之一，使用OpenCV，有详细注释，适合新人学习(One of the basic edge detection algorithms, the use of OpenCV, detailed notes, suitable for newcomers to learn)
SIFT拼接练习
- 图像拼接，使用了opencv里面的函数，对边缘进行了处理，效果较好(Image stitching, the use of OpenCV inside the function, the edge of the treatment, the effect is better)
【5】canny边缘检测
- 基于opencv的canny边缘检测代码，较好地进行边缘检测(Based on opencv canny edge detection code, a better edge detection)
fruit-recognition-master
- 运用了OpenCV、C++、水果识别、Qt界面、颜色识别、边缘检测、图像处理 ，能够实现对不同种类水果进行识别分类。(Using OpenCV, C++, fruit recognition, Qt interface, color recognition, edge detection, and image processing, it is possible to identify and classify different types of fruits.)
Python_VLPR-master
- 基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry