Asset Details
Do you wish to reserve the book?
A dimension and positioning measurement approach for hot forgings based on image segmentation by edgings of grayscale surface continuity
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A dimension and positioning measurement approach for hot forgings based on image segmentation by edgings of grayscale surface continuity
Do you wish to request the book?
A dimension and positioning measurement approach for hot forgings based on image segmentation by edgings of grayscale surface continuity
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
A dimension and positioning measurement approach for hot forgings based on image segmentation by edgings of grayscale surface continuity
2024
Overview
Machine vision measurement is an ideal method for real-time non-contact measurement of hot forgings, where image segmentation is the most important issue in extracting contours and effective areas. However, existing image segmentation methods have limitations of poor performance or complex algorithms with high computational costs, thus are not suitable for real-time processing of hot forging images in industrial processing. This paper proposes an efficient and robust passive visual image segmentation approach by extracting edges of forging images based on discrete grayscale surface continuity, by which experiments on forging positioning and dimension measurement are conducted to prove the performance and feasibility of the image segmentation approach. In this paper, three types of edges by the geometric continuity of the equivalent grayscale surface for forging images are proposed, so that segmentation can be realized by extracting feature edges directly, or combined with the Snakes model. Continuity edges directly related to the geometric characteristics of grayscale surface for forging images, the extracted primary and secondary edges, subsequently the edge-based segmentation approach, can be identified as suitable and stable for forgings with different thermal radiations and dimensions. The experimental results show that the proposed image segmentation approach based on continuity edges works well for segmenting forging images of different temperatures and dimensions, which provides good results in real-time dimension and positioning measurement experiments for hot forging.
Publisher
Springer London,Springer Nature B.V
