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Medical Image Segmentation of Improved Genetic Algorithm Research Based on Dictionary Learning
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作者 xianqi cao Jiaqing Miao Yu Xiao 《World Journal of Engineering and Technology》 2017年第1期90-96,共7页
The image signal is represented by using the atomic of image signal to train an over complete dictionary and is described as sparse linear combinations of these atoms. Recently, the dictionary algorithm for image sign... The image signal is represented by using the atomic of image signal to train an over complete dictionary and is described as sparse linear combinations of these atoms. Recently, the dictionary algorithm for image signal tracking and decomposition is mainly adopted as the focus of research. An alternate iterative algorithm of sparse encoding, sample dictionary and dictionary based on atomic update process is K-SVD decomposition. A new segmentation algorithm of brain MRI image, which uses the noise reduction method with adaptive dictionary based on genetic algorithm, is presented in this paper, and the experimental results show that the algorithm in brain MRI image segmentation has fast calculation speed and the advantage of accurate segmentation. In a very complicated situation, the results show that the segmentation of brain MRI images can be accomplished successfully by using this algorithm, and it achieves the ideal effect and has good accuracy. 展开更多
关键词 DICTIONARY K-SVD Matching PURSUIT SPARSE Representation GENETIC Algorithm Dual Population
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Direct ink writing of continuous SiO2 fiber reinforced wave-transparent ceramics 被引量:8
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作者 Zhe Zhao Guoxiang Zhou +3 位作者 Zhihua Yang xianqi cao Dechang Jia Yu Zhou 《Journal of Advanced Ceramics》 SCIE CSCD 2020年第4期403-412,共10页
This article reports the first example of 3D printed continuous SiO2 fiber reinforced wave-transparent ceramic composites via an adaptation of direct ink writing technology to improve the mechanical and dielectric pro... This article reports the first example of 3D printed continuous SiO2 fiber reinforced wave-transparent ceramic composites via an adaptation of direct ink writing technology to improve the mechanical and dielectric properties of ceramics.The ceramic inks showed good printability by adding nano-SiO2 powder.The effective continuous fiber-reinforced printing progress was achieved through the design and optimization of the coaxial needle structures by finite element simulation.After printing,the continuous fibers were evenly and continuously distributed in the matrix ceramics and the high molding precision for fiber reinforced composite was kept.It is demonstrated that 10 vol%continuous SiO2 fiber improved the bending strength of ceramics by about 27%better than that of the ceramics without fiber and the dielectric performance has also been greatly improved.The novel method unravels the potential of direct ink writing of continuous fiber reinforced wave-transparent ceramics with complex structures and improved properties. 展开更多
关键词 3D printing continuous fiber reinforced RHEOLOGY dielectric properties
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