The Hough Transform Application Including Its Hardware Implementation

Zorski, Witold

doi:10.1007/11558484_58

Cited by 5 publications

(1 citation statement)

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“…9 allows to perform the process of searching for local maxima (in the accumulator array) only if there is a need. It is possible to adopt an independent sophisticated histogram analysis [16] to reduce the complexity in terms of the calculation performed (on CUDA device) for the accumulator. There is an open option to run the histogram analysis directly on a GPU [9].…”

Section: Discussionmentioning

confidence: 99%

Unknown scale objects recognition using massively parallel processing with CUDA

Zorski¹,

Sklodowski

2014

2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR)

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The paper presents a method of irregular patterns creation and matching in an example computer vision system designed for unknown scale objects recognition. The matching process is based on the Hough transform for irregular objects with a parameter space defined by translation, rotation and scaling operations. The high efficiency of the technique allows for poor quality or highly complex images to be analysed. The technique may be used in robot vision systems with unknown scale of the scene, identification systems or for image analysis, directly on grey-level images. In order to guarantee the performance the process of patterns matching is supported by massively parallel processing with the CUDA technology.

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Section: Discussionmentioning

confidence: 99%