Min Jiang

ORCID: 0000-0003-2129-0011
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About
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Research Areas
  • Advanced Algorithms and Applications
  • Advanced Measurement and Detection Methods
  • Autonomous Vehicle Technology and Safety
  • Image and Object Detection Techniques
  • Machine Learning and ELM
  • Industrial Vision Systems and Defect Detection
  • Video Surveillance and Tracking Methods
  • Image and Video Stabilization
  • Brain Tumor Detection and Classification
  • Smart Agriculture and AI
  • Military Defense Systems Analysis
  • Underwater Vehicles and Communication Systems
  • Target Tracking and Data Fusion in Sensor Networks
  • Mineral Processing and Grinding
  • Image Retrieval and Classification Techniques
  • Medical Image Segmentation Techniques
  • Underwater Acoustics Research
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced Decision-Making Techniques
  • Spectroscopy and Chemometric Analyses
  • Advanced Neural Network Applications
  • Tensor decomposition and applications

Wuhan University of Science and Technology
2024

Zhengzhou University of Light Industry
2023

Shenyang Institute of Automation
2019

Chinese Academy of Sciences
2019

University of Chinese Academy of Sciences
2019

Shanghai University of Engineering Science
2018

Modern Electron (United States)
2015

Yangzhou University
2014

Hunan Institute of Science and Technology
2009

Lane detection is a challenging problem. It has attracted the attention of computer vision community for several decades. Essentially, lane multifeature problem that become real challenge and machine learning techniques. Although many methods are used detection, they mainly classification rather than feature design. But modern can be to identify features rich in recognition have achieved success tests. However, these not been fully implemented efficiency accuracy detection. In this paper, we...

10.1155/2018/8320207 article EN cc-by Advances in Multimedia 2018-08-07

Due to its advantages in size and energy consumption, mechanical scanning imaging sonar (MSIS) has been widely used portable economic underwater robots observe the turbid noisy environment. However, handicapped by coarseness spatial temporal resolution, it is difficult stitch scan pieces together into a panoramic map for global understanding. A registration method named symmetrical Kullback–Leibler divergence (SKLD)-distribution-to-distribution (D2D), which models each as Gaussian mixture...

10.1117/1.jei.28.1.013026 article EN Journal of Electronic Imaging 2019-02-07

Lane detection, a crucial component of autonomous driving systems, is in charge precise lane location to ensure that cars navigate lanes appropriately. However, challenging conditions like shadows and extreme lighting, may become obstructed or blurred, posing significant challenge the lane-detection task as model struggles extract sufficient visual information from image. The current anchor-based network detects complex scenes by mapping anchors images features calculating relationship...

10.3390/electronics12244911 article EN Electronics 2023-12-06

10.4156/aiss.vol5.issue7.28 article EN INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 2013-04-10

In order to solve the problem of coal sample images classification, this paper proposes a new method which includes pre-processing and an advanced KSVD algorithm. The algorithm sparse coding (find coefficient x) dictionary update D), then we get adaptive iteratively. Finally, use SVM classification. For classification samples with no obvious features, has been shown be effective. Experiments show that proposed good stability accuracy in images.

10.1109/cyber.2018.8688066 article EN 2018-07-01
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