TY - JFULL AU - Xin Cheng and Benny Thörnberg and Abdul Waheed Malik and Najeem Lawal PY - 2010/5/ TI - Hardware Centric Machine Vision for High Precision Center of Gravity Calculation T2 - International Journal of Physical and Mathematical Sciences SP - 492 EP - 500 VL - 4 SN - 1307-6892 UR - https://publications.waset.org/pdf/15570 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 40, 2010 N2 - We present a hardware oriented method for real-time measurements of object-s position in video. The targeted application area is light spots used as references for robotic navigation. Different algorithms for dynamic thresholding are explored in combination with component labeling and Center Of Gravity (COG) for highest possible precision versus Signal-to-Noise Ratio (SNR). This method was developed with a low hardware cost in focus having only one convolution operation required for preprocessing of data. ER -