Hu Zhuhua (胡祝华)

Hu Zhuhua (胡祝华)

Professor,   Doctorial Tutor
Hainan University

复杂背景下的目标检测和跟踪，目标再识别，超密集环境下的精准实例分割及特征测量

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在机器学习和智慧农业交叉领域做出了较为系统性的工作。主要解决了复杂背景下的多目标检测和跟踪，密集环境下的精准实例分割及特征测量；针对时序型数据的短、长期智能预测，物联网平台和软件系统构建等。以智慧农业的工作为例说明如下：

  1. 智慧水产养殖工作：首先构建了一套长短期水质预测算法模型，首次提出了考虑相关性的深度学习预测方法；其次建立了一套水下鱼体行为检测和预警模型；最后构建了一套完整的水下鱼体行为检测和跟踪、水质监测和预测物联网智慧平台。以上的工作在海南陵水新村港得到了应用示范，取得了较好的成效。
  2. 针对鱼体性状分析开展了一些列的工作，包括：
    1. 分别基于传统的计算机视觉方法、机器学习方法和基于深度学习的分类和关键点回归方法设计了一些列的算法和模型；
    2. 开发了可实用的软件系统一套，和智能测量装置一套。以上的工作在经济生产活动中进行了应用示范。
  3. 在遥感图像的目标检测、密度估计及小目标检测方面做出了一些研究结果。
  4. 农业病虫害智能监控工作： 在研究计算机视觉算法和模型的基础上，针对病虫和病害的智能分割与检测识别取得了一些进展。首先，构建了病虫的智能分割与检测模型；其次，构建了病害孢子的智能检测方法；最后，基于这些模型和方法研制了一套可自主建图和导航的病虫害智能检测机器小车。

相关成果

2022

  1. [EI] Yuexin Fu, Bing Han, Zhuhua Hu*, Xiuqiang Shen, Yaochi Zhao. CBAM-SLAM: A semantic SLAM based on attention module in dynamic environment [C]. The 6th Asian Conference on Artificial Intelligence Technology in Haikou, China (ACAIT 2022), Changzhou, China, October 28-30 2022. (已录用) (EI) 基金：Grant no. 61963012 and 62161010 and Grant no. ZDYF2022SHFZ039.[PDF]

  2. [EI]Pan Gao, Zhuhua Hu*. ASHN For Multi-Human Pose Estimation [C]. The 6th Asian Conference on Artificial Intelligence Technology in Haikou, China (ACAIT 2022), Changzhou, China, October 28-30 2022. (已录用) (EI) 基金：Grant no. 61963012 and 62161010 and Grant no. ZDYF2022SHFZ039.[PDF]

  3. [EI]Yongyi Ye, Zhuhua Hu*. ECI: Effective Channel Interaction for Person Search [C]. The 6th Asian Conference on Artificial Intelligence Technology in Haikou, China (ACAIT 2022), Changzhou, China, October 28-30 2022. (已录用) (EI) 基金：Grant no. 61963012 and 62161010 and Grant no. ZDYF2022SHFZ039.[PDF]

  4. [EI]Hui Ma, Zhuhua Hu*, Yan Zheng. A Virtual Try-on Model with Enhanced Feature Representation Capability [C]. The 6th Asian Conference on Artificial Intelligence Technology in Haikou, China (ACAIT 2022), Changzhou, China, October 28-30 2022. (已录用) (EI) 基金：Grant no. 61963012 and 62161010 and Grant no. ZDYF2022SHFZ039.[PDF]

  5. [SCI]Chuang Yu, Zhuhua Hu*, Bing Han, Yutong Dai, Yaochi Zhao, Yingjun Deng. An Intelligent Measurement Scheme for Basic Characters of Fish in Smart Aquaculture. Computers and Electronics in Agriculture, 2022. ( (中科院SCI 2区，if 6.757) 基金：(Grant No. 61963012 and Grant no. 62161010), (Grant no. ZDYF2022SHFZ039).)[PDF]

  6. [SCI]Bing Han, Zhuhua Hu*, Zhengwei Su, Xueru Bai, Shuzhuang Yin, Jian Luo, Yaochi Zhao. Mask_LaC R-CNN for measuring morphological features of fish, Measurement, 2022. (中科院SCI 2区，IF:5.131) 基金：(Grant No. 61963012 and Grant no. 62161010), (Grant no. ZDYF2022SHFZ039)[PDF]

  7. [SCI]Zijie Chen, Zhuhua Hu*, Lewei Xu, Yaochi Zhao, Xiaoyi Zhou.DA-Bi-SRU for Water Quality Prediction in Smart Mariculture [J]. Computers and Electronics in Agriculture, 2022, 200: 107219. (中科院SCI 2区，if 6.757) 基金：(Grant No. 61963012 and Grant no. 62161010), (Grant no. ZDYF2022SHFZ039).[PDF]

  8. [SCI]Yu Chuang, Liu Yunpeng,Wu Shuhang, Hu Zhuhua*, Xia Xin, Lan Deyan, Liu Xin. Infrared Small Target Detection Based on Multiscale Local Contrast Learning Networks[J]. Infrared Physics & Technology, 2022: 104107. （中科院3区 SCI，if：2.638）基金：(Grant no. 61963012 and Grant no. 62161010)[PDF]

  9. [SCI]Lewei Xu,Zhuhua Hu*, Cong Zhang, Wei Wu. Remote Sensing Image Segmentation of Mariculture Cage Using Ensemble Learning Strategy[J]. Applied Sciences-Basel, 2022, 12(16): 8234. (中科院SCI 3区，if 2.838) 基金：Grant no. 61963012 and 62161010 and Grant no. ZDYF2022SHFZ039.[PDF]

  10. [SCI]Yu, Chuang; Liu, yunpeng; Xia, Xin*; Hu, Zhuhua*; Fu, Shengpeng. Precise segmentation of remote sensing cage images based on SegNet and voting mechanism[J], Applied Engineering in Agriculture, 2022：0. (SCI, 4区, 0.985) [PDF]

  11. [SCI]Chuang Yu, Yunpeng Liu, Shuhang Wu, Xin Xia, Zhuhua Hu, Deyan Lan and Xin Liu,Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022. (中科院SCI 3区，if 3.966) 基金：Grant 61963012 and Grant 62161010[PDF]

  12. [SCI]Chuang Yu, Yunpeng Liu*, Zhuhua Hu, Xin Xia. Precise segmentation and measurement of inclined fish’s features based on U-net and fish morphological characteristics[J]. Applied Engineering in Agriculture, 2022, 38(1): 37-48. (SCI, 中科院4区，if: 0.985) 基金：Grant no. 61963012 and 62161010[PDF]

  13. [EI]Yutong Dai, Chong Zhang, Zhuhua Hu*, Yaochi Zhao, RF2Net: Salient Object Detection Using Level Set Loss and Reverse Attention Fusion Feed Network[C]. The 14th International Conference on Digital Image Processing (ICDIP 2022), Wuhan, China, 2022.5.20-23. (EI) 基金：Grant no.ZDYF2022SHFZ039), National Natural Science Foundation of China (Grant No. 61963012 and Grant no. 62161010)[PDF]

  14. [SCI]Yaochi Zhao, Shiguang Liu*, Zhuhua Hu*. Focal learning on stranger for imbalanced image segmentation[J].IET Image Processing, 2022, 16(5): 1305-1323. (SCI 4区， if：2.373，已录用) 基金：Grant No. 61963012 and Grant no. 62161010[PDF]

2021

  1. [EI]Yu Chuang, Liu Yunpeng, Hu Zhuhua*, Xia Xin*. Accurate segmentation of remote sensing cages based on U-Net and voting mechanism [C].Proceedings of the "Intelligent Awareness and Cross domain Collaboration" System Research Frontier Forum, Changchun, China, No. 2021.09.25 – 27, 2022.(EI) 基金：Grant no. 61963012 October 28, 2021 - October 31, 2021[PDF]

  2. [SCI]Chuang Yu, Zhuhua Hu*, Bing Han, Peng Wang, Yaochi Zhao*, Huaming Wu. Intelligent Measurement of Morphological Characteristics of Fish Using Improved U-net [J]. Electronics, 2021, 10(12), 1426. (SCI, 中科院3区，if：2.412) 基金：Grant No. 61963012[PDF]

  3. [EI]Chuang Yu, Zhuhua Hu*, Ruoqing Li, Xin Xia, Yaochi Zhao, Xiang Fan, Yong Bai. Segmentation and Density Statistics of Mariculture Cages from Remote Sensing Images Based on Mask R-CNN [J]. Information Processing in Agriculture, 2021, (EI) 基金：Grant No. 61963012[PDF]

2020

  1. [SCI]Yaochi Zhao, Shiguang Liu*,Zhuhua Hu, Yong Bai, Chong Shen, Xuequn Shi. Separate degree based Otsu and signed similarity driven level set for segmenting and counting anthrax spores[J]. Computers and Electronics in Agriculture, vol. 169: 105230, 2020. (SCI, 2区，IF: 5.565) 基金：Grant No. 61963012[PDF]

  2. [SCI]Chuang Yu, Xiang Fan, Zhuhua Hu*, Xin Xia, Yaochi Zhao, Yong Bai and Ruoqing Li. Segmentation and Measurement Scheme for Fish Morphological Features Based on Mask R-CNN [J]. Information Processing in Agriculture, 2020, 7(4): 523-534.. (EI) 基金：Grant No. 61963012[PDF]

2019

  1. [EI]Jiaying Wang, Yaochi Zhao, Yu Wang, Wei Chen, Hui Li, Yugui Han and Zhuhua Hu*. Marked Watershed Algorithm Combined with Morphological Preprocessing Based Segmentation of Adherent Spores [C].International Conference in Communications, Signal Processing, and Systems. Springer, Singapore, 2019: 1316-1323. (EI会议)[PDF]

  2. [EI] Yaochi Zhao, Yu Wang, Jiaying Wang,Zhuhua Hu*, Fusheng Lin, Mengyao Xu. GMM and DRLSE Based Detection and Segmentation of Pests: A Case Study [C]. 2019 4th International Conference on Multimedia Systems and Signal Processing (ICMSSP 2019), Guang Zhou, China, May 10-12, 2019. (EI会议) [PDF]

    3. DOI: 10.1145/3330393.3330423

2018

  1. [EI]Cheng, J., Liu, B., Tang, X., Hu, Z., & Yin, J., Traffic flow detection method based on vertical virtual road induction line. International Journal of Embedded Systems, 2018, 10(6), 518-525. (EI)[PDF]

2017

  1. [中文核心]胡祝华, 曹路, 张逸然, 赵瑶池*. 基于图像处理和线性拟合的鱼体尾柄测量方法研究[J]. 渔业现代化, 2017, 44(2): 43-49.（中文核心）[PDF]

  2. [中文核心]胡祝华，曹路，张逸然，赵瑶池*，黄梦醒，谢明山.基于计算机视觉的卵形鲳鲹眼部特征检测方法研究[J].渔业现代化，2017, 44(4):15-23.（中文核心）[PDF]

  3. [中文核心]胡祝华，张逸然，赵瑶池*，曹路，白勇，黄梦醒. 权重约束AdaBoost鱼眼识别及改进Hough圆变换的瞳孔智能测量[J], 农业工程学报，2017, 33(23):226-232.（EI、CSCD、中文核心）[PDF]

2016

  1. [EI] Yaochi Zhao, Zhuhua Hu*, Yong Bai, Xingzi Liu and Xiyang Liu. Multiple Visual Objects Segmentation Based on Adaptive Otsu and Improved DRLSE[C]. 12th International Conference on Intelligent Computing, ICIC 2016; Lanzhou, China: Springer Verlag Part Ⅲ; 2016. p. 707-716. [PDF]

2015

  1. [EI、中文核心] 赵瑶池, 胡祝华*, 白勇, 等. 基于纹理差异度引导的 DRLSE 病虫害图像精准分割方法[J]. 农业机械学报, 2015,46(2):14-19.[PDF]

  2. [EI、中文核心] 赵瑶池, 胡祝华*. 基于对数相似度约束 Otsu 的自然场景病害果实图像分割[J]. 农业机械学报, 2015, 46(11): 9-15. [PDF]

2014

  1. [EI]胡祝华,赵瑶池*,程杰仁,等.基于改进DRLSE的运动目标分割方法[J].浙江大学学报：工学版，2014,48(8):1488~1495.（EI源刊）.[PDF]

  2. [EI]Zhao Yaochi, Hu Zhuhua*, Yang X, Bai Y. Moving object detection method with temporal and spatial variation based on multi-info fusion[C]. 10th International Conference on Intelligent Computing, ICIC 2014; Taiyuan, China: Springer Verlag; 2014. pp. 387-397.[PDF]