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anthonynsimon/bild

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4,192 نجوم·215 تفرعات·Go·MIT·8 مشاهدات

Bild

Bild هي مكتبة لمعالجة الصور تم تنفيذها بلغة البرمجة Go. توفر مجموعة من المحركات الخوارزمية لمعالجة الصور، بما في ذلك محرك نواة التلافيف (Convolution kernel) للتصفية، وأداة مزج الصور لتركيب الطبقات، ومولد ضوضاء إجرائي لإنشاء أنسجة اصطناعية.

يتميز المشروع بقدراته على التوليد الإجرائي، حيث ينفذ خوارزميات ضوضاء Perlin وGaussian وثنائية وموحدة لإنتاج توزيعات بكسل عشوائية وأنماط عضوية. كما يتميز بواجهة سطر أوامر تسمح للمستخدمين بتطبيق تأثيرات بصرية، وتعديلات لونية، وتحويلات هندسية على ملفات الصور دون كتابة كود مخصص.

تغطي المكتبة مجموعة واسعة من إمكانيات معالجة الصور، بما في ذلك التحويلات الهندسية مثل التدوير، والقص، والتكبير، بالإضافة إلى معالجة الألوان وتحليل التوزيع. وتوفر أدوات لتحليل الصور وتقسيمها، والتصفية المورفولوجية، وتدعم قراءة وكتابة بيانات الصور عبر تنسيقات PNG وJPEG وBMP وWebP.

Features

  • Go Image Processing Libraries - Provides a comprehensive collection of image manipulation algorithms implemented entirely in Go.
  • Procedural Noise Textures - Generates synthetic textures and organic patterns using Perlin, Gaussian, binary, and uniform noise algorithms.
  • CLI Image Processing Tools - Includes a command-line interface for applying visual effects, color adjustments, and geometric transformations.
  • Command-Line Image Manipulation - Allows executing image crops, rotations, and filters through a terminal interface without writing custom code.
  • Image Geometric Transformations - Provides matrix-based geometric transformations for rotating, shearing, and translating image coordinates.
  • Procedural Texture Generators - Implements Perlin, Gaussian, binary, and uniform noise algorithms to generate synthetic textures and organic patterns.
  • Convolutional Filtering - Implements a convolution kernel engine to perform blurring, sharpening, and edge detection.
  • Image Blending - Implements algorithms for combining multiple image layers using mathematical blending modes like Multiply, Screen, and Overlay.
  • Multi-Format I/O - Supports reading and writing image data across standard formats including PNG, JPEG, BMP, and WebP.
  • Computer Vision Preprocessing - Prepares images for analysis using thresholding, edge detection, and morphological filters.
  • Image Dimension Transformations - Ships resampling algorithms to change image dimensions while maintaining visual quality during resizing and zooming.
  • Flood Fill Algorithms - Ships a tolerance-based flood fill algorithm to paint contiguous regions of similar pixels.
  • Image Flipping - Provides capabilities to mirror images both horizontally and vertically.
  • Image Rotation - Provides tools to rotate images around a pivot point with bounding box management.
  • Rotation and Shear transforms - Implements shearing transformations to distort images by shifting pixels along the axes.
  • Image Blur Filters - Implements Box and Gaussian blur algorithms to soften image details and reduce noise.
  • Image Composition - Supports combining multiple images using mathematical blending modes and layering to create composites.
  • Threshold-Based Segmentation - Converts multi-tone images into binary black-and-white maps using intensity-based thresholding.
  • Image Cropping Tools - Includes tools to extract specific rectangular regions from existing images through cropping.
  • Dimension Resizing - Implements resampling filters to change image dimensions while maintaining visual quality.
  • Morphological Operations - Provides morphological filtering operations, including dilation and erosion, to modify image structures.
  • Image Zooming - Implements a zooming tool to scale image content from a pivot point with optional canvas expansion.
  • Image Translation - Provides the ability to shift image content along the X and Y axes using translation.
  • Image Visual Effects - Provides a suite of visual effects including edge detection, embossing, grayscaling, inverting, and sharpening.
  • PorterDuff Blending Modes - Implements mathematical blending modes like Multiply and Screen to combine multiple image layers.
  • Color Adjustments - Provides functions for modifying gamma, contrast, brightness, and saturation to adjust the visual tone of images.
  • Image Processing - Collection of image processing algorithms in pure Go.

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الأسئلة الشائعة

ما هي وظيفة anthonynsimon/bild؟

Bild هي مكتبة لمعالجة الصور تم تنفيذها بلغة البرمجة Go. توفر مجموعة من المحركات الخوارزمية لمعالجة الصور، بما في ذلك محرك نواة التلافيف (Convolution kernel) للتصفية، وأداة مزج الصور لتركيب الطبقات، ومولد ضوضاء إجرائي لإنشاء أنسجة اصطناعية.

ما هي الميزات الرئيسية لـ anthonynsimon/bild؟

الميزات الرئيسية لـ anthonynsimon/bild هي: Go Image Processing Libraries, Procedural Noise Textures, CLI Image Processing Tools, Command-Line Image Manipulation, Image Geometric Transformations, Procedural Texture Generators, Convolutional Filtering, Image Blending.

ما هي البدائل مفتوحة المصدر لـ anthonynsimon/bild؟

تشمل البدائل مفتوحة المصدر لـ anthonynsimon/bild: silvia-odwyer/photon — Photon is a high-performance image processing library written in Rust. It serves as a pixel manipulation toolkit and… pixieditor/pixieditor — PixiEditor is a multi-functional graphics suite that serves as a pixel art editor, a node-based graphics editor, and a… scikit-image/scikit-image — scikit-image is a Python image processing library and scientific image analysis toolkit. It provides a framework for… disintegration/imaging — Imaging is a Go library for image processing that provides a set of functions for common image manipulation tasks. It… open-mmlab/mmcv — mmcv is a foundation library for computer vision based on PyTorch. It provides a comprehensive system for constructing… imazen/imageflow — Imageflow is a high-performance image manipulation library and composition engine available as a C-compatible library,…

بدائل مفتوحة المصدر لـ Bild

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    Photon is a high-performance image processing library written in Rust. It serves as a pixel manipulation toolkit and image format transcoder, providing a WebAssembly graphics engine for executing visual effects and transformations directly within web browsers. The project is built around a functional image pipeline, which allows for the programmatic chaining of sequential transformation operations. This architecture supports the creation of complex visual effects through a coded pipeline. The library covers a wide range of image processing capabilities, including color management across mult

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scikit-image is a Python image processing library and scientific image analysis toolkit. It provides a framework for digital image processing and computer vision, utilizing numerical arrays for pixel-level manipulations. The library enables the quantification of image properties and the detection of visual features, such as edges and blobs. It includes tools for image segmentation and the extraction of textures and patterns to characterize objects within visual data. Capabilities cover image manipulation through color space conversion, geometric transformations, and digital restoration. It a

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    Imaging is a Go library for image processing that provides a set of functions for common image manipulation tasks. It offers capabilities for adjusting image colors, applying convolution filters, blurring, cropping, resizing, sharpening, and correcting orientation based on EXIF data. The library supports resizing images to exact dimensions or bounding boxes with aspect ratio preservation and configurable resampling filters. Color adjustments include gamma, contrast, brightness, and saturation controls, while blurring and sharpening use Gaussian-based algorithms with configurable sigma paramet

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