A novel method for Measuring Mass by Image Processing
Xiaomin Tan, Jintian Lei, Hongmei Bi, Tianpeng Liu, Xuejun Zhang, Ximing Wang
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.170How to use a DOI?
- Thin Plate Spline (TPS) Fast Fourier Transform (FFT) Mass Spectrum Bending Energy Computer Vision
- Image processing in terms of grid deformation was applied to measure the mass of objects. In spatial domain, Thin Plate Spline (TPS) method was employed to provide the value of minimum bending energy produced during grid deformation, and quantized mass of object; in frequency domain, Fast Fourier Transform (FFT) algorithm was to calculate the changed value of spectrum both before and after deformation in a power spectrum region. After drawing the relation curve between spatial/frequency feature and corresponding mass, mass of unknown objects can be measured on images before and after deformation. Results showed that, as the acting force that objects withstood became larger, values of bending energy increased, effects for spectrum spreading became more obvious as well. Objects having good flexibilities were compared and analyzed through an image experiment and it showed that tensile belt fitted the experiment pretty well. Different values of acting force were applied to the belt and its deformation effect was remarkable. The result was linear distribution and in accordance with the theoretical expectation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaomin Tan AU - Jintian Lei AU - Hongmei Bi AU - Tianpeng Liu AU - Xuejun Zhang AU - Ximing Wang PY - 2015/06 DA - 2015/06 TI - A novel method for Measuring Mass by Image Processing BT - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icecee-15.2015.170 DO - https://doi.org/10.2991/icecee-15.2015.170 ID - Tan2015/06 ER -