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<!-- Copyright by Vitali Fedulov ([email protected]) 2015-2019 -->
<!DOCTYPE html>
<html lang="en">
<head>
<title>Similar image finder on disk</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="icon" type="image/png" href="images/favicon.png">
<link rel="stylesheet" type="text/css" href="css/index.css">
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto">
</head>
<body>
<!-- Header -->
<div class="header">
<a href = "index.html" class="logo"><h1>Similar Pictures Search</h1></a>
<h4 class="logo-statement">Find near duplicates on your computer</h4>
</div>
<div class="nav">
<!-- Set manually class "active" for corresponding nav-tab. -->
<div class="nav-tab active"><a href="index.html">Home</a></div>
<div class="nav-tab"><a href="duplicate-image-search-example.html">Screenshot</a></div>
<div class="nav-tab"><a href="research.html">Research</a></div>
<div class="nav-tab"><a href="tools.html">Tools</a></div>
<div class="nav-tab"><a href="about.html">About</a></div>
<div class="line"></div> <!-- Gray line placeholder. Should stay here. -->
</div>
<!-- Contents -->
<img src="images/lighthouse.gif" class="lighthouse">
<p>This online service finds similar photos on your computer (Windows, Mac OS and Linux). Simply click and start the search.</p>
<p><a href="similar-image-search.html">One image</a> searches inside a folder for similar pictures to a given source image.</p>
<p><a href="duplicate-image-finder.html">All similarities</a> finds multiple groups of similar images in a folder (clustering <a href="duplicate-image-search-example.html">example screenshot</a>).</p>
<p>Near duplicates will be found, that is exact or resized pictures, images with small color changes, minor watermarks. It will not find strongly cropped or rotated images, similar objects, or same objects taken from different views, lighting conditions etc.</p>
<h3>How to use</h3>
<ul>
<li>Use desktop browsers (it is unlikely to work on smartphones).</li>
<li>Click a button below and select an image or a directory.</li>
<li>Click "Open" or "Upload" (images are NOT UPLOADED anywhere, but read-access is given to all files of selected directory).</li>
<li>To get an idea of what is considered "similar", try "All similarities" first. Do not select a folder with too many files (>10000-50000), as it will take very long initial selection time and more memory to process.</li>
<a class="button margin-right" href="similar-image-search.html">One image</a>
<a class="button" href="duplicate-image-finder.html">All similarities</a>
</ul>
<h3>Image types supported</h3>
<p><samp>JPG, PNG, BMP, WEBP, GIF </samp>(static and animated) of maximum size 40MB per image. Transparency is ignored in image comparison.</p>
<h3>Open-source algorithm</h3>
<p>Read about this <a href="algorithm-for-perceptual-image-comparison.html">photo comparison algorithm</a> and check out <a href="https://github.com/vitali-fedulov/images4">image similarity in Go</a> (Github) for your company or project. The open-source Golang code implements the image comparison function. The code does not include the duplicate image finder (clustering algorithm).</p>
<h3>Precision</h3>
<p>Parameters are set to find reasonably high number of near-similar images with acceptable speed and low false positives. The idea is to offer ready-to-use solution for majority of typical cases without many customizable parameters.</p>
<p>Images are compared by perceptual similarity in terms of color and brightness across the whole image. Partial occlusions, e.g. watermarks, impact perceptual similarity. If the perceptual changes are small, the pictures are considered similar. Rotated and mirrored images are considered distinct.</p>
<div class = "footer">Copyright © 2019 Vitali Fedulov. All rights reserved.</div>
</body>
</html>