Research on Edge Detection Algorithm in Digital Image Processing

The image has many features, among which the edge is one of the most basic one. The purpose of edge detection is to obtain accurate edge positioning, which plays a vital role in computer vision and image analysis. Great detection of the image can also effectively suppress the generation of noise. There are many methods for edge detection in digital image processing. With the upgrading of science and technology, the recent emerging image edge detection algorithm becomes the organic synthesis of variety emerging image edge detection algorithms. Firstly, the theoretical analysis and LOG operator of the classical edge detection operator are studied emphatically. Then, the performance of the classical edge detection operator and the multi-scale algorithm of the digital image edge detection algorithm are fully explained. Finally, the digital image edge detection classification and digital image edge detection algorithm are described in detail. Edge detection method refers to a method of segmentation calculation on the edge of an image. The edge detection of the image is also a test of the basic characteristics of the image, and such information detection will carry a lot of image information. Therefore, the image edge detection algorithm plays an important role in the geometric analysis of the image and the application of the computer vision, and can provide a lot of reliable resources for the actual interpretation and data analysis of the image ([1-3]). Digital image edge detection algorithm is based on image segmentation, image pixel recognition, partial image acquisition and other image analysis methods. When the image edge detection algorithm is used, it is necessary to perform the edge measurement and edge sampling of the image, so that the image can be understood and the image can be analyzed at the same time. Image edge detection algorithm has become one of the important research fields of image recognition and computer identification. Image edge detection algorithm also plays an important role in engineering application and engineering drawing. Image edge detection algorithm is one of the most basic analysis methods of image. In pursuit of simple algorithms, the image edge detection algorithm also deals with the balance between detection accuracy and noise immunity ([4-6]). In this paper, the edge detection algorithm in digital image processing is studied deeply, and the conventional classical algorithm is studied. It is hoped that a kind of edge detection algorithm for digital image with simple calculation and balanced detection accuracy and anti-noise can be found.