摘要：随着计算机科学的发展和各个行业需求的增长，数字图像处理技术在生活的各个方面都有着广泛的应用。其中，边缘检测是其中的重要研究领域，对许多环节有不可忽视的作用，被广泛应用于多个方面。因此，边缘检测是当下的研究热点之一，其难点在于如何准确地检测边缘的位置并将之运用到各个实操应用中。纸箱特征点的提取是纸箱识别系统中的一个重要步骤,但纸箱特征点的信息只能从灰度图像中提取。
本文通过利用计算机图像处理技术，程序基于python和OpenCV，从摄像头获取纸箱图像，采用灰度区域图像裁剪、灰度化图像处理、尺寸归一化和纸箱图像的对比性功能增强等技术手段，对图像进行清理,找出图像边缘的轮廓点坐标,并且循环排序,给轮廓从左到右排序。本文对基于图像边缘化技术做了广泛和深入的研究，介绍了其研究现状和关键技术，讨论了其技术瓶颈和发展趋势；分析了基于在图像应用领域里的应用需求。
关键词：PYTHON；边缘化检测；图像处理
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.
Key words: P
