Image Edge Detection Algorithm Based on Fuzzy Radial Basis Neural Network

Abstract

Digital image processing technology is widely used in production and life, and digital images play a pivotal role in the ever-changing technological development. Noise can affect the expression of image information. The edge is the reflection of the main structure and contour of the image, and it is also the direct interpretation of image understanding and the basis for further segmentation and recognition. Therefore, suppressing noise and improving the accuracy of edge detection are important aspects of image processing. To address these issues, this paper presents a new detection algorithm combined with information fusion based on the existing image edge detection techniques, and the algorithm is studied from two aspects of fuzzy radial basis fusion discrimination, in terms of preprocessing algorithm, comparing the denoising effect of mean and median filters with different template sizes on paper images with added noise, and selecting the improved median filter denoising, comparing different operator edge detection. The effect of image edge detection contour is finally selected as the 3 ∗ 3 Sobel operator for edge detection; the binarized image edge detection contour information is found as the minimum outer rectangle and labeled, and then, the original paper image is scanned line by line to segment the target image edge region. The image edge detection algorithm based on fuzzy radial basis fuser can not only speed up the image preprocessing, meet the real-time detection, and reduce the amount of data processed by the upper computer but also can accurately identify five image edge problems including folds and cracks, which has good application prospects.

Line segment detection algorithm in image extraction improvement study

“…And the improved median filter denoising was chosen to compare the edge detection effect of different operators. According to the findings, it can accelerate the preprocessing speed, meet the real-time detection, and reduce the amount of data processed by the upper computer [13]. Zhang et al proposed a new algorithm applied to the recognition of arrow markings and text markings between lane lines.…”

Application of Human-Computer Interaction and Digital Image Processing Technology in Virtual Simulation Game Design

“…Image measurement technology is a new digital indirect measurement technology that has emerged in recent years, and its basic principle is to use the image of the object under test as a means of detecting and transmitting information and extracting useful signals through digital image processing to achieve the purpose of indirect measurement [9][10]. The edge is an important feature of the object, and the geometric parameters of the object are obtained by edge detection, so digital image edge detection is the key to achieving image measurement [11].…”