Research on Preprocessing for Pointer-Type Meter Image Based on Visual Recognition
Li Yo · Electrical Measurement & Instrumentation · 2013
Realization of visual identification for pointer-type instrument is an important work of automation of unmanned monitor. Based on this,preprocessing work is carried out for pointer type meter in this paper. First,a new framework is built for preprocessing including four aspects. Second,the linear model is used in completing gray processing and Otsu method is used in completing threshold segmentation. Then,eight-connection chain code is built to determine the dial region,and corrosion algorithm is selected to remove noise. Experimental results show that dial region can be extracted and various features can be retained by using the methods proposed in this paper. Our work also built a foundation for the subsequent feature extraction.