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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]
Many image formats are native to one specific graphics application and are not offered as an export option in other software, due to proprietary considerations. An example of this is Adobe Photoshop 's native PSD-format (Prevention of Significant Deterioration), which cannot be opened in less sophisticated programs for image viewing or editing ...
Entropy-based methods result in algorithms that use the entropy of the foreground and background regions, the cross-entropy between the original and binarized image, etc., [6] Object Attribute-based methods search a measure of similarity between the gray-level and the binarized images, such as fuzzy shape similarity, edge coincidence, etc.,
Netpbm (formerly Pbmplus) is an open-source package of graphics programs and a programming library. It is used mainly in the Unix world, where one can find it included in all major open-source operating system distributions, but also works on Microsoft Windows, macOS, and other operating systems.
tabulate, Python module for converting data structures to wiki table markup; wikitables, Python module for reading wiki table markup; H63: Using the scope attribute to associate header cells and data cells in data tables | Techniques for WCAG 2.0. Tables | Usability & Web Accessibility. Yale University. Tables with Multi-Level Headers.
MPEG-1 Layer 3 file without an ID3 tag or with an ID3v1 tag (which is appended at the end of the file) 49 44 33: ID3: 0 mp3 MP3 file with an ID3v2 container 42 4D: BM: 0 bmp dib BMP file, a bitmap format used mostly in the Windows world 43 44 30 30 31: CD001: 0x8001 0x8801 0x9001 iso ISO9660 CD/DVD image file [40] 43 44 30 30 31: CD001: 0x5EAC9 ...
An example image thresholded using Otsu's algorithm Original image. In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding. [1]
The basic idea in binary morphology is to probe an image with a simple, pre-defined shape, drawing conclusions on how this shape fits or misses the shapes in the image. This simple "probe" is called structuring element , and is itself a binary image (i.e., a subset of the space or grid).