Canny边缘检测器
索贝尔算子
微分边缘检测器
边缘检测
计算机科学
GSM演进的增强数据速率
人工智能
计算机视觉
斑点检测
图像渐变
图像处理
像素
图像(数学)
作者
Shalu Gupta,Harmanpreet Singh,Y. J. Singh
出处
期刊:Lecture notes in networks and systems
日期:2023-01-01
卷期号:: 445-462
标识
DOI:10.1007/978-981-99-1699-3_30
摘要
Edge detection or edge finding is the way of finding out and detecting sharp breaks in an image. The breaks are unpredicted modifications in a pixel intensity scene. Traditional or customary approach of facet finding contains convolving an image through operators which is built to be superficial to huge inclines.Edge detectors shape a group of very essential local picture processing approach to find sharp adjustments within the depth characteristic. Edge detection is a vital method in which a number of picture processing packages together with item recognition, movement analysis, pattern reputation, medical image processing, and so forth. This paper presents several aspects of edge detection strategies with advantages and disadvantages of the chosen algorithms, i.e., Canny, Sobel, Robert, Laplacian of Gaussian (LoG), etc. An element discussion related to advantages and disadvantages of each algorithm also are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI