The constant improvements in the technology of semiconductor chips allow increasingly complex functionality to be performed by more and more space and power limited modules. Deep miniaturisation and cost reduction of such modules have positive influence on their application areas. They can be used e.g. inside machine tools for controlling the dimensions of processed elements or a deformation of tool. Modules of this kind need to include as many standard components as possible, especially the processing unit responsible inter alia for processing signal from visual sensor. For this reason in this paper there are reviewed and compared algorithms for detecting edges of objects useful in embedded systems based on standard single chip, Cortex-M4F cores. The processing complexity and the quality of the algorithms outputs are analysed. It is concluded that the required processing times are substantially limiting the use of single chip MCUs to detecting edges on small images.
CITATIONS(3):
1.
Comparative analysis of different machine vision algorithms for tool wear measurement during machining Mayur A. Makhesana, Prashant J. Bagga, Kaushik M. Patel, Haresh D. Patel, Aditya Balu, Navneet Khanna Journal of Intelligent Manufacturing
3D Measurement Using a Single Image for Smart Manufacturing of Microscopic Products in a Ceramic Powder Pressing Process Hyejin S. Kim, Yoonsoo Han, Junmo Kim International Journal of Precision Engineering and Manufacturing-Green Technology
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.