Abstract: with the development of computer science and the growth of the demand of various industries, digital image processing technology has a wide range of applications in all aspects of life. Among them, edge detection is an important research area, which plays an important role in many aspects and is widely used in many aspects. Therefore, edge detection is one of the current research hotspots, the difficulty is how to accurately detect the position of the edge and apply it to various practical applications. The extraction of carton feature points is an important step in carton recognition system, but the information of carton feature points can only be extracted from gray image.
In this paper, through the use of computer image processing technology, program based on Python and opencv, get the carton image from the camera, using gray region image cutting, gray image processing, size normalization and carton image contrast function enhancement and other technical means, clean up the image, find out the contour point coordinates of the image edge, and cycle sorting, give the contour from left to right. In this paper, based on the image edge technology has done extensive and in-depth research, introduces its research status and key technologies, discusses its technical bottleneck and development trend; The application requirements in the field of image application are analyzed.
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