Planar object detection method based on continuous edge characteristic

A technology of edge features and plane targets, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of insufficient versatility and achieve the effect of solving the problem of insufficient versatility
CN106022337AActive Publication Date: 2016-10-12FUDAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
FUDAN UNIV
Publication Date
2016-10-12

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Abstract

The invention relates to a planar object detection method based on a continuous edge characteristic, and belongs to the technical field of machine vision image processing. The method comprises the steps including extracting the continuous edge characteristic, establishing a target contour model, extracting candidate objects based on a Hough transformation idea, screening the candidate objects and realizing accurate positioning. The method is suitable for an industrial scene, and can be used to establish a model of an unknown planar object rapidly and realize object detection. The method needs not to be adjusted for the specific object, and is suitable for different planar objects (as well as objects whose surfaces are planar), and the problem that the university of a present visual system is low is solved to certain extent. The detection precision is higher, the processing speed is high, and certain anti-noise capability is provided.
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Description

technical field

[0001] The invention belongs to the technical field of machine vision image processing, and specifically relates to a method for quickly establishing a model of an unknown planar target and realizing target detection in an industrial scene. Background technique

[0002] Image processing technology is usually the core part of a vision system, and the edge extraction technology and target detection technology involved in the present invention are one of the most important research methods in the field of image processing.

[0003] When people observe an object, the perceived edge is usually a place where the color has obvious changes, and the mathematical representation of this change in the image is the edge detection operator. The commonly used operators include Roberts operator, Sobel operator, Prewitt operator, Laplacian operator, and Canny operator. Although these traditional algorithms based on edge detection operators can extract edge pixels, many noise...

Claims

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