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Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
The software mainly consists of a number of command-line interface utilities for manipulating images. ImageMagick does not have a robust graphical user interface to edit images as do Adobe Photoshop and GIMP, but does include – for Unix-like operating systems – a basic native X Window GUI (called IMDisplay) for rendering and manipulating images and API libraries for many programming languages.
Alternate text is optional but recommended. See Alternate text for images for hints on writing good alternate text. To have some text to the left of an image, and then some more text below the image, then put in a single <br clear="all">. This will force following text down until the margins are free of floating images.
In this example, the image data is encoded with utf8 and hence the image data can broken into multiple lines for easy reading. Single quote has to be used in the SVG data as double quote is used for encapsulating the image source. A favicon can also be made with utf8 encoding and SVG data which has to appear in the 'head' section of the HTML:
file://host/path. where host is the fully qualified domain name of the system on which the path is accessible, and path is a hierarchical directory path of the form directory/directory/.../name. If host is omitted, it is taken to be "localhost", the machine from which the URL is being interpreted.
This page explains how to place images on wiki pages, where the image acts as a hypertext link to somewhere other than the image description page.Care should be taken that this is done in compliance with the licensing terms of the file in question, particularly if they require proper attribution.
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Invoke Image Display (IID) is an IHE Integration Profile that simplifies the task of integrating non-image-aware systems like EHRs, EMRs, PHRs, RIS and other information systems with image-aware systems like PACS, VNA and Image Sharing solutions, by providing a standard mechanism to request that imaging studies be displayed.