A matching and point locating algorithm based on shape features

Yang Liu; Shiqun Yin

doi:10.1117/12.2514693

29 October 2018 A matching and point locating algorithm based on shape features

Yang Liu, Shiqun Yin

Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 108360T (2018) https://doi.org/10.1117/12.2514693
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China

Abstract

Applying machine vision in laser marking to feature matching and positioning of interesting objects, in order to improve the robustness of the feature to image translation, rotation, scaling, and the accuracy of point positioning, a corresponding algorithm is needed to implement, but the accuracy of current algorithm is not high, and it takes a long time to feature match and point locate. Therefore, this paper combines the shape features of the image, gives the angle features and scale features of the image, deduces the use of angle and scale mixed descriptors to obtain the shape feature information, and standardizes the descriptors. At the same time, the local curvature and the maximum polar radius are combined to determine the initial position of the key point in the contour, and Euclidean distance is used to measure similarity. The Gaussian pyramid is used to perform hierarchical matching to accelerate the algorithm to meet the requirements of industrial real-time. Finally, the matching key points are fitted with rigid transformation parameters to achieve precise positioning of marking points. Through matching and positioning experiments on the high resolution marking images, the results show that the proposed algorithm has high efficiency, the matching accuracy is 94.73%, and the average timeconsuming is only 11.2% of the SURF matching algorithm. It shows that the algorithm of this paper can accurately and effectively match the workpiece and locate the marking point under the premise of real-time performance.

Citation Download Citation

Yang Liu and Shiqun Yin "A matching and point locating algorithm based on shape features", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108360T (29 October 2018); https://doi.org/10.1117/12.2514693

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Atomic force microscopy

Distance measurement

Image segmentation

Laser marking

Machine vision

Operating systems

Edge detection

Show All Keywords

Keywords/Phrases

Search In:

Publication Years