资源列表
pcl
- pcl 3d 文件格式转换，点云读取与显示(PCL 3D file format conversion, point cloud reading and display)
CUDA-Sobel-Filter-master
- This program is meant to run a sobel filter using three different methods. Each sobel filter function runs in a different way than the others, one is a basic sobel filter running through just the cpu on a single thread, another runs through openmp to
OpenCV_Morpholog
- Morphological Operations, Erosion, Dilation and their combinations Open, Close, Boundary extraction, Top-Hat. Edge Detection Filters Prewitt, Sobel and Canny Filters
Sobel-Edge-Detection-master
- A soble edge function using basic convolutions. CImg library is used to display, read, and write image files.
edge-detection-master
- C++ Qt implementation of edge detection algorithms. Currently available algorithms: Canny edge detector Sobel edge detector Prewitt edge detector Roberts cross Scharr operator The project includes GUI for viewing results.
hyper-canny-master
- Doing Canny edge detection in higher dimensions. This doesn't do anything yet.
hed-master
- We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional neural networks and deeply-supervised nets. HED automat
EdgeDetectorCUDA-master
- Demonstration of working implementations of the Canny, Sobel, and Roberts cross edge detection algorithms, each algorithm implemented in a CPU and a NVidia CUDA version. Written in Qt/C++.
Laplacian_Edge_Detector-master
- This implements laplacian edge detection which involves convolution, zero crossing detection and Thresholding
cartoonifier_desktop-master
- A simple program that uses Laplacian edge detection and bilateral filters in OpenCV to "cartoonify" a webcamera's stream.
Edge-Detection-master
- This project is about detecting edges using canny edge detector. The canny edge detector is implemented from scratch using c++. Steps involved in creating a canny edge detector: STEP 1: smoothen the image using gaussian blur. STEP 2: Use differential
cqtvf
- For feature reduction, feature fusion, correlation analysis, Car class-based truck driver trying to Matlab program, Matlab to achieve user-friendly.