A216 Automatic Construction Method for Image and Shape Feature based Landmark

Author(s):  
Daichi Abe ◽  
Satoshi Suzuki ◽  
Kouzirou Iizuka ◽  
Takashi Kawamura
Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 893
Author(s):  
Chi Zhang ◽  
Xiaolin Hou ◽  
Mao Pan ◽  
Zhaoliang Li

Three-dimensional complex fault modeling is an important research topic in three-dimensional geological structure modeling. The automatic construction of complex fault models has research significance and application value for basic geological theories, as well as engineering fields such as geological engineering, resource exploration, and digital mines. Complex fault structures, especially complex fault networks with multilevel branches, still require a large amount of manual participation in the characterization of fault transfer relationships. This paper proposes an automatic construction method for a three-dimensional complex fault model, including the generation and optimization of fault surfaces, automatic determination of the contact relationship between fault surfaces, and recording of the model. This method realizes the automatic construction of a three-dimensional complex fault model, reduces the manual interaction in model construction, improves the automation of fault model construction, and saves manual modeling time.


Author(s):  
Maofu Liu ◽  
Huijun Hu

The image shape feature can be described by the image Zernike moments. In this chapter, the authors point out the problem that the high dimension image Zernike moments shape feature vector can describe more detail of the original image but has too many elements making trouble for the next image analysis phases. Then the low dimension image Zernike moments shape feature vector should be improved and optimized to describe more detail of the original image. Therefore, the optimization algorithm based on evolutionary computation is designed and implemented in this chapter to solve this problem. The experimental results demonstrate the feasibility of the optimization algorithm.


2015 ◽  
Vol 20 (2) ◽  
pp. 119-128 ◽  
Author(s):  
Yongji Ouyang ◽  
Qingxian Wang ◽  
Jianshan Peng ◽  
Jie Zeng

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