Automatic Extraction Device Nameplate Area from Digital Image

Abstract

Since that nameplate recognition plays an important role in intelligent manufacturing，we explored an image processing solution based on the digital image of the metal nameplate of power equipment. At first, the gray image and threshold segmentation are used to realize the image preprocessing. After this, the application of the three edge detection operators of the scharr operator, the sobel operator and the canny operator in the actual image is compared to realize the image edge detection process. Based on the morphological method, the noise elimination effects of three different structural elements and convolution kernel are analyzed afterwards. The method of identifying the nameplate area in steps is designed. Finally, through the contour detection and perspective projection, the image processing results are improved, and the extraction process of the complete digital image nameplate area in complex environment is realized.