Workflows

TIF to JP2 file format migration with qual... (1)

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This workflow reads a textfile containing absolute paths to TIF image files and converts them to JP2 image files using OpenJPEG (https://code.google.com/p/openjpeg). Based on the input text file, the workflow creates a Taverna list to be processed file by file. A temporary directory is created (createtmpdir) where the migrated image files and some temporary tool outputs are stored. Before starting the actual migration, it is checked if the TIF input images are valid file format instances u...

Created: 2014-05-07 | Last updated: 2014-05-07

Credits: Sven

ToMaR HDFS Input Directory Processing (2)

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This workflow allows processing an HDFS input directory using ToMaR. The "hdfs_working_dir" input port is the HDFS input directory which containes the data to be processed by ToMaR. The "toolspec" input port contains the toolspec XML describing operations that can be used (see "operation" input port). The "operation" input port defines the operation to be used in the current ToMaR job execution (see "toolspec" input port, an operation port used here must be defined in the tool specificatio...

Created: 2014-03-04 | Last updated: 2014-03-11

Credits: Sven

JP2 to TIFF file format migration with qua... (1)

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This workflow reads a textfile containing absolute paths to JP2 image files and converts them to TIFF image files using Kakadu's j2k_to_image command line application (http://www.kakadusoftware.com). Based on the input text file, the workflow creates a Taverna list to be processed file by file. A temporary directory is created (createtmpdir) where the migrated image files and some temporary tool outputs are stored. Before converting the files, the JP2 input files are validated using the SC...

Created: 2013-02-07

Credits: Sven

Matchbox Evaluation (1)

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Matchbox evaluation against ground truth. The evaluation process first creates the matchbox output and ground truth lists. It then counts each page tuple from the matchbox output that is in the ground truth as correctly identified tuple (true positive). Those that are not in the ground truth are counted as incorrectly identified tuples (false positives), and finally, those that are in the ground truth but not in the matchbox output are counted as missed tuples (false negatives). The precision...

Created: 2012-10-02 | Last updated: 2012-10-02

Credits: Sven

Hadoop Large Document Collection Data Prep... (1)

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Workflow for preparing large document collections for data analysis. Different types of hadoop jobs (Hadoop-Streaming-API, Hadoop Map/Reduce, and Hive) are used for specific purposes. The *PathCreator components create text files with absolute file paths using the unix command 'find'. The workflow then uses 1) a Hadoop Streaming API component (HadoopStreamingExiftoolRead) based on a bash script for reading image metadata using Exiftool, 2) the Map/Reduce component (HadoopHocrAvBlockWidthMapR...

Created: 2012-08-17 | Last updated: 2012-08-18

Credits: Sven

A heuristic measure for detecting undesire... (2)

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The workflow takes TIFF image instances as input, applies a list of JP2 compression parameter values, executes OCR using an open source OCR engine, evaluates the results, and creates a diagram visualising the results. Dependencies on external tools for the tool service components: Tesseract ImageMagick Kakadu Gnuplot Dependencies on external Java libraries of beanshells: Apache commons lang

Created: 2012-02-06 | Last updated: 2012-03-09

Credits: Sven

Detect compressed TIFF files and remove th... (3)

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The workflow takes a list of TIFF images as input, identifies the "Group 4 Fax" comressed TIFF images and converts them to uncompressed TIFF images using convert. Finally it characterises the converted image. This version of the workflow replaces the web services of the original workflow with tool services.

Created: 2011-06-15 | Last updated: 2012-03-08

Credits: Sven

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