New Method Based on Phase Congruency for Weld Pool Edge Extraction in Laser Cladding

2018 ◽  
Vol 54 (5) ◽  
pp. 166
Author(s):  
Jian LIU
Author(s):  
Soji Yamakawa ◽  
Kenji Shimada

This paper presents a new method for extracting feature edges from computer-aided design (CAD)-generated triangulations. The major advantage of this method is that it tends to extract feature edges along the centroids of the fillets rather than along the edges where fillets are connected to nonfillet surfaces. Typical industrial models include very small-radius fillets between relatively large surfaces. While some of those fillets are necessary for certain types of analyses, many of them are irrelevant for many other types of applications. Narrow fillets are unnecessary details for those applications and cause numerous problems in the downstream processes. One solution to the small-radius fillet problem is to divide the fillets along the centroid and then merge each fragment of the fillet with nonfillet surfaces. The proposed method can find such fillet centroids and can substantially reduce the adverse effects of such small-radius fillets. The method takes a triangulated geometry as input and first simplifies the model so that small-radius, or “small,” fillets are collapsed into line segments. The simplification is based on the normal errors and therefore is scale-independent. It is particularly effective for a shape that is a mix of small and large features. Then, the method creates segmentation in the simplified geometry, which is then transformed back to the original shape while maintaining the segmentation information. The groups of triangles are expanded by applying a region-growing technique to cover all triangles. The feature edges are finally extracted along the boundaries between the groups of triangles.


2019 ◽  
Vol 19 (1) ◽  
pp. 8-16
Author(s):  
Zhitao Xiao ◽  
Lei Pei ◽  
Fang Zhang ◽  
Ying Sun ◽  
Lei Geng ◽  
...  

Abstract In this paper, a new method based on phase congruency is proposed to measure pitch lengths and surface braiding angles of two-dimensional biaxial braided composite preforms. Lab space transform and BM3D (block-matching and 3D filter) are used first to preprocess the original acquired images. A corner detection algorithm based on phase congruency is then proposed to detect the corners of the preprocessed images. Pitch lengths and surface braiding angles are finally measured based on the detected corner maps. Experimental results show that our method achieves the automatic measurement of pitch lengths and the surface braiding angles of biaxial braided composite preforms with high accuracy.


2012 ◽  
Vol 236-237 ◽  
pp. 1145-1151
Author(s):  
Qian Zhao ◽  
Guo Wei Kang ◽  
Yuan Bin Hou ◽  
Su Zhao

The background of images often obstructs the edge extraction.A new method of edge extraction is proposed in this paper, which combines classic edge extraction algorithms with optimal global threshold and the morphological dilation and restruction. It can accurately extract edges and eliminate fake edges and filter out the background well.


Author(s):  
M. А. Protsenko ◽  
E. A. Pavelyeva

<p><strong>Abstract.</strong> In this article the new method for iris image features extraction based on phase congruency is proposed. Iris image key points are calculated using the convolutions with Hermite transform functions. At each key point the feature vector characterizing this key point is obtained based on the phase congruency method. Iris key point descriptor contains phase congruency values at points located on concentric circles around the key point. To compare the key points, Euclidean metric between the key points descriptors is calculated. The distance between the iris images is equal to the number of matched iris key points. The proposed method was tested using the images from CASIA−IrisV4−Interval database and the value of EER&amp;thinsp;=&amp;thinsp;0.226% was obtained.</p>


2011 ◽  
Vol 21 (2) ◽  
pp. 15-22 ◽  
Author(s):  
Supratim Gupta ◽  
Aurobinda Routray ◽  
Anirban Mukherjee

2018 ◽  
Vol 44 (11) ◽  
pp. 1045-1048 ◽  
Author(s):  
Yu. A. Chivel
Keyword(s):  

2010 ◽  
Vol 20-23 ◽  
pp. 1353-1358
Author(s):  
Zhi Ping Hu ◽  
Yuan Jun He

This paper introduces a robust method for automatically matching features in images corresponding to the same physical point on an object captured from two arbitrary viewpoints. Starting from detected line segments in two or more images using phase congruency, the pairs of line segments are characterized by indices that encode the relative positions and orientations of those segments. The encoding indices are invariant with respect to viewpoint changes and the corresponding line segments between the images can be found by them. The feature matching is optimized for image warping where we wish to ignore unreliable matches at the expense of reducing the number of feature matches. This approach can be applied to the image warping to realize its automatism. Results are presented on real images.


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