A New Adaptive B-spline VFC Snake for Object Contour Extraction

Author(s):  
Hoang-Nam Nguyen ◽  
An-Chen Lee
2012 ◽  
Vol 562-564 ◽  
pp. 1655-1659
Author(s):  
Qin Xiang Xia ◽  
Zhe Lin Li ◽  
Wei Qi Zong ◽  
He Qing Xie

Non-contact measuring method based on CCD camera is desirable for product quality of high temperature long-shaft heavy forgings. In the light of the characteristics of RGB primary color and halation in forging image, the mean red gray value in the high temperature area is proposed as the dynamic threshold to acquire external contours. Internal edges in the image of the hot forging are blurry and discontinuous. For these characteristics, a method based on quadratic B-spline curve is employed to extract and fit the internal contours. Experiments show that this method can effectively remove pseudo features and extract accurate internal and external contours for images of high temperature squaring and chamfering forgings of 900 0C to 1050 0C.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Chen chen ◽  
Daohui Bi

In order to improve the accuracy of traditional motion image pose contour extraction and shorten the extraction time, a motion image pose contour extraction method based on B-spline wavelet is proposed. Moving images are acquired through the visual system, the information fusion process is used to perform statistical analysis on the images containing motion information, the location of the motion area is determined, convolutional neural network technology is used to preprocess the initial motion image pose contour, and B-spline wavelet theory is used. The preprocessed motion image pose contour is detected, combined with the heuristic search method to obtain the pose contour points, and the motion image pose contour extraction is completed. The simulation results show that the proposed method has higher accuracy and shorter extraction time in extracting motion image pose contours.


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