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HOG-Dot: A Parallel Kernel-Based Gradient Extraction for Embedded Image Processing
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DOI：10.1109/LSP.2015.2463092.png)
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Abstract
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In this letter, we propose HOG-Dot, a method for the direct computation of the polar image gradients coordinates from the pixels values. The proposed algorithm, to be used as the first step of the Histogram of Oriented Gradient (HOG) pipeline, approximates the exact gradient with its projection onto a versor chosen among the projection plane set. Instead of non linear computations, the HOG-Dot method exploits linear operations while introducing a bounded approximation error with respect to other HOG approaches, thus resulting a more suitable solution for embedded devices. Concerning the state of the art, it also achieves improved accuracy with the mathematical spatial gradient formulation.
Keywords:
Image edge detection
image processing
multidimensional signal processing
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