A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.
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Updated
May 21, 2020 - Python
A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.
Two methods for segmenting skin on ultrasound B-mode images
See movement patterns over time using Python and OpenCV
opencv for face detection, segmentation, recognition, lane findings,
This GitHub repository serves as a valuable resource for researchers, developers, and enthusiasts working with AUVs, providing a range of image processing algorithms and tools tailored to enhance visual perception and analysis in underwater scenarios.
A project on Image Processing, leveraging PyQt5 for a user-friendly GUI and implementing essential operations like Low Pass Filter, Downsampling, Upsampling, Thresholding, and Negative Image Generation. It offers a visually engaging experience while exploring the realm of image processing techniques.
Implementation of various image processing methods from scratch in python.
This application can be used to quickly view how different Thresholding Methods work on images. Selected threshold method can be applied for bulk images in a folder, results are saved in a user selected folder with histograms.
Water level detection using draft marker readings, through the means of computer vision, machine learning and optical flow methods
(Semi) Automated Image Processing
Preprocess, noise-reduction, threshold & quantify images to get box plots for each class (mainly cell cultures of different cel llines). Colocalization due to a naive trick of counting all overlapping signals/pixels. Could be done in ImageJ as well, but i thought this is better suited than fiddling with macros.
Threshold an image interactively (HSV,HSL, Sobel X/Y)
Complete resource for people wanting to learn Computer Vision with the latest OpenCV4, Dlib and DeepLearning
Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.
Lane finding with computer vision
EdgeVisionCam is a real-time edge detection tool using Python and Pygame. It processes live webcam video to highlight edges and contours, offering a clear view of your environment's features. With an easy-to-use interface and adjustable settings, EdgeVisionCam is ideal for dynamic visual analysis.
Image Processing with OpenCv-Computer Vision
The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images.
BasicToolkit is an intuitive image-processing and computer vision app that has the feel of Photoshop. It offers a range of processing techniques built from scratch, such as filtering, equalizing, active contouring, and more.
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