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GitHub - yoyoyo-yo/Gasyori100knock: image processing codes to understand algorithm
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Plinko Gambling: Where Physics Meets Chance Tap into the world of Plinko gambling, its intriguing blend of chance and strategy, and its potential future in the betting industry. The World of Plinko Betting: What Every Gambler Should Know Born from the vibrant world of game shows, Plinko has seamlessly transitioned into a gambling sensation, captivating enthusiasts around the globe. At its core, Pl
Check http://www.GraphicsMagick.org/ or https://graphicsmagick.sourceforge.io/index.html for the latest version of this page. GraphicsMagick is the swiss army knife of image processing. Comprised of 284K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package, it provides a robust and efficient collection of tools and libraries which support reading, writing,
基本的な画像処理手法について 画像のディジタル化(カラー・モノクロ) このページで使用するサンプル画像について 輝度値ヒストグラム カラー画像の画像処理 色の変換(RGB->YUVへの変換) 色の変換(鮮やかさを上げる・下げる) 明るさの調整（γ補正） グレイスケール(モノクロ)画像の画像処理(階調に関する) 明るさの調整（γ補正） 階調値の部分拡大強調 階調イコライゼーション(ヒストグラム均一化) 2値化 グレイスケール(モノクロ)画像の画像処理(フィルタ処理) シャープ化とぼかし ノイズ除去(メディアンフィルタ) 1次微分(差分)によるエッジ検出 2次微分(差分)によるエッジ検出 実際に体験してみる(学内限定) グレイスケール画像の画像処理 カラー画像の画像処理 画像圧縮 一般データの圧縮 画像の圧縮（その１：ランレングス,GIF） 画像の圧縮（その２：JPEG） 参考文献 谷口慶治編
scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. Download If you find this project useful, please cite: [BiBTeX] Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yage
ノードエディタ形式の画像処理ツール「Image-Processing-Node-Editor」 - Qiita
はじめに 趣味でノードエディタ形式の画像処理ツール「Image-Processing-Node-Editor」を作りました。 その紹介の記事です。中身にOpenCVガッツリ使っているからアドカレOKですよね。。。👀？ ガッツリ使っているという意味では、GUI部分の DearPyGui のほうがガッツリ使っているかもしれませんが🤔 「Image-Processing-Node-Editor」とは 以下のように、ノードを接続していくことで、処理結果を可視化しながら画像処理が行えるツールです。 以下のような特徴があります。 主要な処理は全てPython ※ライブラリ部分除く 各処理を可視化しながら画像処理が試せる 自作ノードの追加が容易 (だと信じている) 記事書くために見直していましたが、イマイチ複雑ですわ、、、😇 OSS (Apache 2.0ライセンス) デフォルトでいくつかのAI機
PHP Image Workshop - PHP class using GD library for image processing
PHP Image Workshop is an open source class using GD library that helps you to manage images with PHP. This class is thought like photo editing software (Photoshop, GIMP...): you can superimpose many layers or even layer groups, each layer having a background image. It makes the class the most flexible ever ! It is thought to do simple tasks like creating thumbnails or pasting watermarks and also t
Photon: A high-performance WebAssembly image processing library.
Image Processing in WebAssembly Photon is a high-performance image processing library in WebAssembly that runs both natively and on the web. Features Photon outperforms even the fastest of libraries, and is powered with Rust, allowing for safe and secure image processing. Web-Assembly Friendly For web-based image processing, Photon is 4-10x faster than JS, leading to faster results, and less lag.
GitHub - lovell/sharp: High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
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GitHub - jimp-dev/jimp: An image processing library written entirely in JavaScript for Node, with zero external or native dependencies.
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Internal of the image processing required on the developing of web applications
Webアプリケーションの開発にあたっては、現代においては大量の画像を扱わないといけないことは明らかである。その際には、サイズ変換・フォーマット変換・転送量削減といったあたりは当然に必要となる。単純に見えて実は落とし穴がいっぱいなこうした画像変換の中身について、技術的側面から説明する（※デザインの話はしません）
Java Image Filters I have a large number of Java Image filters which are freely available for download from this site. The filters are all standard Java BufferedImageOps and can be plugged directly into existing programs. All the filters are available in the Java Image Editor and most have dialogs to allow you to play with their settings. If you want to try out any of these filters, I recommend do
disintegration/imaging: Imaging is a simple image processing package for Go
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GitHub - sakiyamaK/OpenCVjs: Image Processing in javascript
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The CImg Library - C Template Image Processing Library
Browse free open source Software Development software and projects below. Use the toggles on the left to filter open source Software Development software by OS, license, language, programming language, and project status. JS7 JobScheduler is an open source workload automation solution. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST
Camellia Image Processing and Computer Vision library
Go to SourceForge Project Page FAQ Documentation (doxygen) Introduction The Camellia Library is an open source Image Processing & Computer Vision library. Written in plain C, it is cross-platform (Unix / Linux, Windows) and robust. It already includes a lot of functions for image processing (filtering, morphological mathematics, labelling, warping, drawing, project/backproject, color conversion, l
GitHub - BradLarson/GPUImage2: GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing.
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GitHub - libvips/libvips: A fast image processing library with low memory needs.
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GitHub - xavctn/img2table: img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
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Introduction This is a short tutorial on blurring techniques for beginners. When I was learning this stuff, there was very little available material which was useful. That's not true of course - there was masses of material, but half of it was way too simple and the other half began "Let T be a vector function evaluated over the half-open interval...." and was full of very scary multi-line equatio
Java Image Filters I have a large number of Java Image filters which are freely available for download from this site. The filters are all standard Java BufferedImageOps and can be plugged directly into existing programs. All the filters are available in the Java Image Editor and most have dialogs to allow you to play with their settings. If you want to try out any of these filters, I recommend do
GitHub - mezzoblue/PaintbrushJS: A lightweight browser-based image processing library
PaintbrushJS Copyright (c) 2010, Dave Shea All rights reserved. Developed by Dave Shea, http://www.mezzoblue.com/ PaintbrushJS on GitHub: http://github.com/mezzoblue/PaintbrushJS PaintbrushJS is a lightweight, browser-based image processing library that can apply various visual filters to images within a web page. You use it by applying a class to an element on the page and setting a few parameter
Check http://www.GraphicsMagick.org/ or https://graphicsmagick.sourceforge.io/index.html for the latest version of this page. GraphicsMagick is the swiss army knife of image processing. Comprised of 284K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package, it provides a robust and efficient collection of tools and libraries which support reading, writing,
A perceptual color space for image processing A perceptual color space is desirable when doing many kinds of image processing. It is useful for things like: Turning an image grayscale, while keeping the perceived lightness the same Increasing the saturation of colors, while maintaining perceived hue and lightness Creating smooth and uniform looking transitions between colors Unfortunately, as far
JIU The Java Imaging Utilities An image processing library
Nice 1 Bedroom, Quiet, Just Renovated, Furnished, With 2 Lovely Terraces
Posted September 20, 2013 by leafo (@moonscript) · Tags: openresty Today I'll be showing you how to create a fast on the fly image processing server. The whole system can be created in less than 100 lines of code. We'll be using OpenResty, an enhanced distribution of Nginx. We'll also need to write a little bit of Lua to get all the functionality we want. Lastly, we'll be using this Lua ImageMagic
Image processing is notoriously a CPU intensive task. To do it in realtime, you need to implement your algorithm in a fast language, hence trying to do it in Python is foolish: Python is clearly not fast enough for this task. Is it? :-) Actually, it turns out that the PyPy JIT compiler produces code which is fast enough to do realtime video processing using two simple algorithms implemented by Håk
GitHub - jcupitt/libvips: A fast image processing library with low memory needs.
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週刊Railsウォッチ（20201116前編）6.1のActive Storageでimage_processing gemが必須に、Webアプリ設計の変遷とフロントエンド領域の再定義ほか｜TechRacho by BPS株式会社
2020.11.16 週刊Railsウォッチ（20201116前編）6.1のActive Storageでimage_processing gemが必須に、Webアプリ設計の変遷とフロントエンド領域の再定義ほか こんにちは、hachi8833です。 各記事冒頭には⚓でパーマリンクを置いてあります: 社内やTwitterでの議論などにどうぞ 「つっつきボイス」はRailsウォッチ公開前ドラフトを（鍋のように）社内有志でつっついたときの会話の再構成です👄 お気づきの点がありましたら@hachi8833までメンションをいただければ確認・対応いたします🙇 ⚓Rails: 先週の改修（Rails公式ニュースより） 以下のコミットリストのChangelogを中心に見繕いました。ドキュメントの更新が増えているようです。 コミットリスト: Comparing @{2020-11-05}...maste
G'MIC is a full-featured open-source framework for digital image processing, distributed under the CeCILL free software licenses (LGPL-like and/or GPL-compatible). It provides several user interfaces to convert / process / visualize generic image datasets, ranging from 1D scalar signals to 3D+t sequences of multi-spectral volumetric images, hence including 2D color images. We provide these differe
IPOL is a research journal of image processing and image analysis which emphasizes the role of mathematics as a source for algorithm design and the reproducibility of the research. Each article contains a text on an algorithm and its source code, with an online demonstration facility and an archive of experiments. Text and source code are peer-reviewed and the demonstration is controlled. IPOL is
Momma's Wiki: Scilab/SIP - Scilabで画像処理。Scilab Image Processing t...
とりあえず使えるようになる スタックの拡張 SIPはメモリを大量に使うので予めスタックを拡張しておく。 stacksize(3e7) それか.scilabファイルに stacksize(3e7); を記述しておく。 画像のロード 何でも良いのだがSIPの画像を使ってみる。 chdir(SIPDIR+'images') mat=imread('ararauna.jpg'); chdirはディレクトリの移動。imreadは画像の読み込み。 [mat,map]=imread('ararauna.png'); とすればカラーマップも取得できる。 画像の表示 xbasc();imshow(mat); あるいは xbasc();imshow(mat,map); xbascは画像ウィンドのクリア。 画像の保存 imwrite(mat,'/home/druel/test.jpg') あるいは imwrit
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知的画像処理講義資料 以下の資料は，Microsoft社のPowerPointソフトで作成し，PDFファイルフォーマット に変換している．そのため，Windows系以外のソフトによる表示では，日本語フォ ントの表示が正しく行われないことがある. 知的画像処理講義資料１ -- 知的画像処理講義資料２ -- 知的画像処理講義資料３ -- 知的画像処理講義資料４ -- 知的画像処理講義資料５ -- 知的画像処理講義資料６ -- 知的画像処理講義資料７ -- 知的画像処理講義資料８ -- 知的画像処理講義資料９ -- 知的画像処理講義資料１０ -- 知的画像処理講義資料１１ -- 知的画像処理講義資料１２ -- 知的画像処理講義資料１３ -- 現在，講義資料１３まで． 以上の資料の他に, 微分幾何的特徴に関する資料 尺度空間画像に関する資料 シフト画像処理に関する資料 がある．必要に応じて参
Pythonでよく使う画像処理ライブラリの関数まとめ備忘録。 随時更新予定。 以下のライブラリをimportしていることが前提 Library Version opencv @3.2.0_1+contrib+python27 scikit-image @0.12.3_2 scipy @0.19.0_0+gfortran import numpy as np import copy import cv2 as cv import skimage import skimage.io as sk import skimage.filters as fil import skimage.filters.rank as rank import skimage.morphology as mor import skimage.transform as tr import scipy.misc as s
GitHub - anthonynsimon/bild: Image processing algorithms in pure Go
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画像処理におけるUIImageとCGImageとCIImageの効果的な使い分け iOSDC 2019 発表資料 https://fortee.jp/iosdc-japan-2019/proposal/3c30c4b4-a647-4198-8e8c-e8100293ee93
HIPI - Hadoop Image Processing Interface :: Introduction
HIPI is an image processing library designed to be used with the Apache Hadoop MapReduce parallel programming framework. HIPI facilitates efficient and high-throughput image processing with MapReduce style parallel programs typically executed on a cluster. It provides a solution for how to store a large collection of images on the Hadoop Distributed File System (HDFS) and make them available for e
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