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Titlebook: Innovative Simulation Systems; Aleksander Nawrat,Karol Jędrasiak Book 2016 Springer International Publishing Switzerland 2016 Applied Simu

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楼主: 小巷
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The Method of Developing the Invariant Functions Vector for Objects Recognition from a Given Objectsising an object in the image. This method is based on searching the points in the image for which there is minimal distance between the model vector and current vector—calculated for each point of the image. On top of that, this study presents the examples of the object recognising by means of the developed method.
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Real-Time Multiple Laser Points Trackinget for less than 10 % of the sequence. Due to the significant improvement of tracking quality it was possible to apply the algorithm and create the professional laser shooting range characterized by outstanding quality.
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Adjusting the Thresholds to the Recognised Pattern in Order to Improve the Separation Between the Rees. The method based on moment invariants, which were the elements of feature vectors defining the features of the recognised object, was used by authors in order to recognise the objects. The paper presents the influence of image thresholding with histogram equalisation for exemplary images on the
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