Data

Data and algorithms for low level feature extraction from imagery using edge detection

Curtin University
Geoff West (Managed by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft.title=Data and algorithms for low level feature extraction from imagery using edge detection&rft.publisher=Curtin University&rft.description=This collection gives details of a number of packages of source code and data concerned with low-level feature extraction using the edge detection method. Images and results generated can be viewed as pgm images using software such as Gimp (available for Windows, Linux and Mac platforms). This collection contains code based on Gaussian filtering for Canny and Marr-Hildreth edge detection for 2D images based on a fast recursive one dimensional filtering algorithm. The collection includes code written in C and has been used on Linux and OSX platforms. The main image format used is the open standard pbm format.&rft.creator=Anonymous&rft.date=2012&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Computer Vision&rft_subject=Image Processing&rft.type=dataset&rft.language=English Access the data

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G.West@curtin.edu.au

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Brief description

This collection gives details of a number of packages of source code and data concerned with low-level feature extraction using the edge detection method. Images and results generated can be viewed as pgm images using software such as Gimp (available for Windows, Linux and Mac platforms). This collection contains code based on Gaussian filtering for Canny and Marr-Hildreth edge detection for 2D images based on a fast recursive one dimensional filtering algorithm. The collection includes code written in C and has been used on Linux and OSX platforms. The main image format used is the open standard pbm format.

Data time period: 1987 to 2011

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