An image-based intelligent system for pointer instrument reading

Autor:	Wennan Niu, Yongqiang Gao, Xiaojiang Peng, Yu Qiao, Yi Dai, Zhijuan Yang
Rok vydání:	2014
Předmět:	Computer science business.industry Histogram Pointer (computer programming) Computer graphics (images) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer vision Artificial intelligence Binary descriptor business Image based
Zdroj:	2014 4th IEEE International Conference on Information Science and Technology.
DOI:	10.1109/icist.2014.6920593
Popis:	This paper proposes an image-based system for pointer instrument reading (PIR). The main contributions are twofold. First, we introduce binary descriptor such as ORB(Oriented FAST and Rotated BRIEF) for registering the images of pointer instruments. Second, we propose a Circle-based Regional cumulative Histogram (CRH) method to finely locate the pointer. The CRH method is robust to illumination, and is relative fast compared to previous methods. Experimental results demonstrate the effectiveness and practicability of our image-based PIR system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1460ba41990a3e79746e3644606e752f https://doi.org/10.1109/icist.2014.6920593 Zobrazit plný text záznamu