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3 dépôts

Awesome GitHub RepositoriesPixel Connectivity Analysis

Identifying and labeling contiguous regions of pixels in binary images.

Distinct from Connected Component Identification: Applies connected component analysis to image pixels rather than abstract data grids.

Explore 3 awesome GitHub repositories matching software engineering & architecture · Pixel Connectivity Analysis. Refine with filters or upvote what's useful.

Awesome Pixel Connectivity Analysis GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • hybridgroup/gocvAvatar de hybridgroup

    hybridgroup/gocv

    7,463Voir sur GitHub↗

    GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br

    Labels and counts connected regions of pixels to separate distinct objects in binary images.

    Go
    Voir sur GitHub↗7,463
  • shimat/opencvsharpAvatar de shimat

    shimat/opencvsharp

    6,011Voir sur GitHub↗

    OpenCVSharp is a .NET library that wraps native OpenCV functions, providing C# developers with access to OpenCV's computer vision capabilities through an API that mirrors the native C/C++ style. It serves as a managed wrapper for image processing, feature detection, object detection, and image manipulation tasks, while also handling automatic disposal of unmanaged OpenCV resources like Mat objects to prevent memory leaks in .NET applications. The library enables keypoint detection and descriptor extraction using algorithms such as AKAZE, BRISK, or FAST, with brute-force or FLANN-based matchin

    Labels connected regions of foreground pixels in binary images and returns blob properties.

    C#computer-visiondotnetdotnetstandard
    Voir sur GitHub↗6,011
  • zxing-js/libraryAvatar de zxing-js

    zxing-js/library

    2,917Voir sur GitHub↗

    This library is a multi-format barcode processing utility designed for web browsers and server-side environments. It provides a comprehensive suite of tools for both decoding existing barcode symbols and generating new ones from input data. The project distinguishes itself by enabling continuous, real-time barcode scanning directly from live video streams. By utilizing browser camera interfaces and automated frame processing, it allows applications to capture and interpret one-dimensional and two-dimensional barcode data without requiring manual image uploads or user intervention. Beyond rea

    Analyzes pixel luminance to isolate high-contrast barcode patterns from background noise in raw image data.

    TypeScriptbarcodedecoding-imagesencoding-library
    Voir sur GitHub↗2,917
  1. Home
  2. Software Engineering & Architecture
  3. Algorithmic Problem Solving
  4. Grid Connectivity Solving
  5. Connected Component Identification
  6. Pixel Connectivity Analysis