turtlebot_visual_servoing
Turtlebot line tracker based on ROS, Visp and OpenCV
ServoPrehensionControl
All coding necessary for applying the visual servoing control laws developed for the 3-Finger Adaptive Gripper are contained here.
visual servo simulator
The aim of visual servoing is tracking an object by the feedback information of the vision sensor. There are different techniques for controlling the system, in this work, Image based visual servoing has been chosen. The goal of propsed system is tracking the featureless object by the kernel and moment measurement. The configuration of the system is eye-in-hand.
Visual-Servoing
This program is designed to detect the largest blob (object) in the scene and move the robot and arm in place to properly and safely interact with the object.
Visual Servo code for AR.Drone
Visual Servo ROS Package for the AR.Drone
Visual Servo code for AR.Drone
Andrew Melim
DisCODe Component Library
Visual servoing library for cooperation with MRROC++.
Image-Processing-labs
Canny edge Detection, Watershed Segmentation, Stereo Matching and Lucas-Kanade techniques. Using C++ and blepo (A library create at Clemson University to handle image processing)
使用JNI实现Sobel算子图像边缘检测
Using JNI to achieve Sobel operator image edge detection
ADPluginEdge
An EPICS areaDetector plugin to perform edge detection using the OpenCV Canny function.
Fixed-Pattern-Noise-Correction
This Application aim to detect the lines using Sobel or my custom Algorithm. In image processing, this app associated with Edge Detection and Fixed pattern Noise.
高级机器人手册
很老的一本书，找起来不容易，定价高点，建议不要直接下载，希望有用。现在机器人方向好发文章的就是仿生跟软体啊，加油！
Edge Detection Techniques - An Overview
一篇介绍边缘检测的综述，综述类文章不太好找，废了半天劲才弄下来，字体有错误，但不影响观看
Solar system simmulation in Oxygine
Solar system simmulator in Oxygine
N-body simmulation of solar system. Simmulation is done using boost odeint using this example.
It is possible to move camera and zoom in and out using mouse wheel/two touches.
Following toolbar buttons are present:
ComputerGraphics
This repository contains implementation of some Algorithms based on drawing some basic shapes like a line , circle, ellipse and their transformation on the computer Screen.
BGI graphics library is used to achieve generation of shapes using cpp which can only be implemented in Turbo C/C++ environment.
Code implementing A NEW EFFICIENT ELLIPSE DETECTION METHOD 2002
Algorithms for Ellipsoid detection
*author : Konstantinos Lagogiannis 2017
I ve been looking for ellipse detection algorithms and I came across an interesting paper for which however I could not find code in C. So, here is my, yet unpolished implementation of the IEEE paper "A NEW EFFICIENT ELLIPSE DETECTION METHOD", Yonghong Xie & Qiang Ji 2002. \note Minor Customization have been added so as to improve detection ellipsoids in low-res images, but also show debug output of points used on an image - using OpenCV and Gcc.
Summary :
Algorithm creates list of point pairs, and then checks/scores for candidate ellipse with major axis between a chosen pair of test points, it then estimates minor axis by testing all 3rd points and uses a voting procedure to check for possible minor axis and ellipse
Draw and render the shapes as a text string
This software is TextCanvas by katahiromz.
It can render shapes as a string.
Simple paint app
Simple paint app that allows you to draw ellipses and rectangles with different color options.
a hill climbing algorithm to mutate a set of ellipses
A program that performs a hill climbing algorithm to mutate a set of ellipses to best match an input picture.
Auto Canny
Zero-parameter, automatic Canny edge detection with C++ and OpenCV.
This is a conversion of Adrian Rosebrock's python script to c++.
Everything is contained in the include folder in auto_canny.h
There's an simple code in src/main.cpp to read an image and output the zero parameter canny image
edge detection problems
Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques
canny edge detection
Projects leading up to and including canny edge detection and sieve closest-point algorithm.
Canny Edge Detection And Hough Transform Line Detection
Canny Edge Detection And Hough Transform Line Detection
The code is written in Visual C++.
USING THE MAIN CODE
The Input images have to be ".bmp" format and the output image must be saved as ".bmp" format.
In the main code, you must be change your input image and output image (saved image) paths to yours.
software that implements the Lateral Inhibition to detect edges
An Augmented Reality app that demonstrates basic computer vision concepts such as greyscaling, thresholding, edge detection, homography, corner detection...its a long list. It paints a 3D image on any detected markers.
Here is a crude video that shows the application in action. Here is a marker with the a 3D object (the CNU logo) rendered correctly on its surface plane. Beside it is the marker with no image.
edge detection
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 operator to find the magnitude and direction of every edge pixel. STEP 3: Non maximal supression or Thinning is done. Here the thick edges are supressed into thinner ones. STEP 4: Hysteresis Thresholding: Two thresholds are selected. pixels lower than the lowT will become zero. pixels higher than the HighT will become one. The candidate pixels will become one if they can be linked to any one of the strong pixel.
"cartoonify" a webcamera's stream
A simple program that uses Laplacian edge detection and bilateral filters in OpenCV to "cartoonify" a webcamera's stream.
laplacian edge detection
This implements laplacian edge detection which involves convolution, zero crossing detection and Thresholding
Richer Convolutional Features for Edge Detection
In this paper, we propose an accurate edge detector using richer convolutional features (RCF). Since objects in natural images possess various scales and aspect ratios, learning the rich hierarchical representations is very critical for edge detection. CNNs have been proved to be effective for this task. In addition, the convolutional features in CNNs gradually become coarser with the increase of the receptive fields. According to these observations, we attempt to adopt richer convolutional features in such a challenging vision task. The proposed network fully exploits multiscale and multilevel information of objects to perform the image-to-image prediction by combining all the meaningful convolutional features in a holistic manner. Using VGG16 network, we achieve state-of-the-art performance on several available datasets. When evaluating on the well-known BSDS500 benchmark, we achieve ODS F-measure of 0.811 while retaining a fast speed (8 FPS). Besides, our fast version of RCF achieves ODS F-measure of 0.806 with 30 FPS.
EdgeDetectorCUDA
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++.
EdgeDetector
Demonstration of working implementations of the Canny, Sobel, and Roberts cross edge detection algorithms. Written in Qt/C++.
Hand gesture/Edge detection/Opencv+Qt
Edge-detection-of-hand-gesture
Hand gesture/Edge detection/Opencv+Qt
The edge of hand gestures in a video is detected.
code for Holistically-Nested Edge Detection
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 automatically learns rich hierarchical representations (guided by deep supervision on side responses) that are important in order to resolve the challenging ambiguity in edge and object boundary detection. We significantly advance the state-of-the-art on the BSD500 dataset (ODS F-score of .790) and the NYU Depth dataset (ODS F-score of .746), and do so with an improved speed (0.4s per image).
HyperCanny project
Doing Canny edge detection in higher dimensions. This doesn't do anything yet.
C++ implementations of edge detection algorithms
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.
Sobel-Edge-Detection
A soble edge function using basic convolutions. CImg library is used to display, read, and write image files.
Morphological Operations
Morphological Operations, Erosion, Dilation and their combinations Open, Close, Boundary extraction, Top-Hat. Edge Detection Filters Prewitt, Sobel and Canny Filters
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 parallelize the single threaded cpu function, and the last one runs through a NVIDIA gpu to parallelize the function onto the many cores available on the gpu. The resulting output from the functions should be the same no matter which way it is ran, the only difference will be the time taken to process each method. In most cases, the CPU will run the slowest, then openmp, and finally the GPU method will run the fastest (due to having more cores to handle many small computations). The result will be an image showing an edge map produced by each method, the edge maps should all be the same.
ImageEdgeDetection
The goal of this project was to create an edge detection software without using too much of the OpenCV library. We programed everything from scratch except for the Mat class that we use to store images.
A report and a powerpoint in french are also available in the repository. Lots of comments (in english) can be seen in the code which is pretty straightforward to read.
Edge-Detection-in-Image-with-Wavelet-Transform
The project aimed to extract the Edge of the Images using the wavelet filter such as sobel filter, which helps in extraction of the edges by the removing the noise and applying the contrast and then you might proceed to morphological operations like erosion and dilation and get a thin skeleton of the contour in the end.
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