25 June 2013 Development and simulation of soft morphological operators for a field programmable gate array
Author Affiliations +
J. of Electronic Imaging, 22(2), 023034 (2013). doi:10.1117/1.JEI.22.2.023034
In image processing applications, soft mathematical morphology (MM) can be employed for both binary and grayscale systems and is derived from set theory. Soft MM techniques have improved behavior over standard morphological operations in noisy environments, as they can preserve small details within an image. This makes them suitable for use in image processing applications on portable field programmable gate arrays for tasks such as robotics and security. We explain how the systems were developed using Altera’s DSP Builder in order to provide optimized code for the many different devices currently on the market. Also included is how the circuits can be inserted and combined with previously developed work in order to increase their functionality. The testing procedures involved loading different images into these systems and analyzing the outputs against matlab-generated validation images. A set of soft morphological operations are described, which can then be applied to various tasks and easily modified in size via altering the line buffer settings inside the system to accommodate a range of image attributes ranging from image sizes such as 320×240  pixels for basic webcam imagery up to high quality 4000×4000  pixel images for military applications.
© 2013 SPIE and IS&T
Andrew J. Tickle, Paul K. Harvey, Jeremy Smith, Q. Henry Wu, "Development and simulation of soft morphological operators for a field programmable gate array," Journal of Electronic Imaging 22(2), 023034 (25 June 2013). http://dx.doi.org/10.1117/1.JEI.22.2.023034

Binary data

Digital signal processing

Image segmentation

Field programmable gate arrays


Source mask optimization

Image processing

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