Ribbon Detection Based on Threshold Segmentation after Grey Level Transformation

In the production process of ribbon,it is required to detect the edge of ribbon so as to ensure consistent ribbon width.Finding hemming etc,in ribbon can effectively improve the production efficiency and quality of ribbon.This paper analyzes the influence of ribbon background on the edge according to features of ribbon image,obtains threshold value with Otsu threshold segmentation method after grey level transformation of image and detects ribbon edge with the threshold value as the high threshold of Canny operator;uses grey level transformation for linear variation of the pixel range of ribbon image and makes the threshold value obtained with Otsu threshold segmentation method meet the requirement of Canny operator for achieving edge detection;applies this algorithm in in ribbon edge detection system and achieves a good detection effect.Due to simple operation of the improved algorithm and its detection speed can meet the requirement of the system,intellectualization of ribbon test system has also been achieved.