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- Title
基于犎狅狌犵犺变换和犎犛犞彩色空间的 电气盘柜状态识别.
- Authors
戴 威; 陆小锋; 刘学锋; 胡浩棋; 赵梓辰
- Abstract
The state of the electrical cabinet is characterized by color and on and off state of the indicator light installed on the cabinet. In this paper, the method based on IIough transform and IISV color space is proposed and used to recognize the state of electrical cabinet intelligently. Firstly, the method carries out the pretreatment for the cabinet image captured in real time, and gains the binary edge image. Secondly, the IIough gradient method is used to detect the circle containing the indicator light in the binary edge image, and the invalid circle is removed by RGB threshold screening, connected domain labeling and circle contour threshold screening. Then, according to the V value of the IISV eigenvalues of the images at the center of these circles, the on and off state of the indicator light is judged. Finally, based on the II, Sand V values of the image at the edge of the circle, the color discrimination model of the indicator light is established, and the color categories (red, green and yellow) of the indicator light are intelligently judged. Experimental results show that this method can identify the indicator light and its color quickly and accurately, and the accuracy is above 98 % .
- Publication
Computer Measurement & Control, 2022, Vol 30, Issue 1, p181
- ISSN
1671-4598
- Publication type
Article
- DOI
10.16526/j.cnki.11-4762/tp.2022.01.016