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13 results on '"Xu, Jiachi"'

3. Coordinated Multi-UAV Adaptive Exploration Under Recurrent Connectivity Constraints

Author

Su, Yaqianwen, Shi, Dianxi, Xue, Chao, Xu, Jiachi, He, Xionghui, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Hara, Takahiro, editor, and Yamaguchi, Hirozumi, editor

Published
2022
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5. A Safe Topological Waypoints Searching-Based Conservative Adaptive Motion Planner in Unknown Cluttered Environment

Author

Xu, Jiachi, Tan, Jiefu, Xue, Chao, Su, Yaqianwen, He, Xionghui, Zhang, Yongjun, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Gao, Honghao, editor, and Wang, Xinheng, editor

Published
2021
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6. Multi-UAV Cooperative Exploring for the Unknown Indoor Environment Based on Dynamic Target Tracking

Author

Li, Ning, Tan, Jiefu, Wu, Yunlong, Xu, Jiachi, Wang, Huan, Wu, Wendi, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Gao, Honghao, editor, and Wang, Xinheng, editor

Published
2021
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11. Image Fusion Method Based on Improved NSCT Transform and PCNN Model

Author

Gong Jiamin, Lin Qiao, Xu Jiachi, Wang Beibei, and Zhang Zhengjun

Subjects
Image fusion, Fusion, Artificial neural network, business.industry, Computer science, Computer processing, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, 02 engineering and technology, Contourlet, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business
Abstract

Multi-source image fusion has been the hotspot of research in recent years, in order to make the fusion results more consistent with human vision and computer processing, many classical algorithms have been proposed, such as contourlet transform, non-subsampled contourlet transform (NSCT)and so on. On this basis, this paper proposes an improved fusion method of infrared and visible images based on NSCT transform and pulse coupled neural network (PCNN). The basic idea is that the source images are decomposed by NSCT to obtain low frequency and high frequency bands, low frequency components use the regional variance saliency fusion method of adaptive threshold weighted, high frequency components use the PCNN method, and high frequency subband coefficients are directly used as external inputs of PCNN neurons. Experimental results show that the fused image has higher clarity and richer useful information. Both subjective and objective performance indicators are better than the traditional algorithm.

Published
2016

12. Image fusion based on region structure similarity and contourlet transform

Author

Gong Jiamin, Deng Yingna, Liu Huabo, Lin Qiao, Zhang Zhengjun, Wang Beibei, and Xu Jiachi

Subjects
Fusion, Image fusion, business.industry, 020207 software engineering, Pattern recognition, 02 engineering and technology, Mutual information, Contourlet, Standard deviation, Weighting, 0202 electrical engineering, electronic engineering, information engineering, Entropy (information theory), 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Objective evaluation, business, Mathematics
Abstract

In order to improve the quality of fusion image integrated by infrared and visible images, so that it is more suitable for human and computer vision or processing. A two-step fusion method, that is region structure similarity and Contourlet transform, is presented. With the blocking idea, source images are fused by using region structure similarity, region energy ratio and region clarity ratio to obtain the first fusion image. Then the first fusion image and two source images are decomposed by taking Contourlet transform, and low frequency components use region variance weighting rule, high frequency components adopt multi-scale analysis. Experimental results prove that our proposed method can improve subjective visual effect of the image. Meanwhile objective evaluation indexes entropy, standard deviation, average gradient and mutual information are increased.

Published
2016

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