Data Visualization and Image Processing Based on Machine Learning

Dear Colleagues,

Data visualization performs the data representation in the form of charts and images to make receivers understand the carried information quickly and accurately and promote communication efficiency. Image processing aims to achieve enhancement, coding, classification, segmentation, target detection and understanding of an image. With aid of machine learning, the automatization and intellectualization of data visualization and image processing are achieved, and the application of the two has been extended to various aspects of human life, covering industry, medicine, military, aerospace and culture. However, there are still many challenges, such as the absence of theoretic exploration of data visualization, weak promotion of data visualization on data understanding, lack of research on practical complex applications, understanding deficiency of image contents, high time and memory cost of algorithms and difficulty of cross-platform transitioning. The topics of interest include, but are not limited to the following:

• Theoretic study of data visualization
• Data visualization understanding
• Practical scenario application
• Understanding of image content
• Lightweight image processing
• Cross-platform deployment

Dr. Shizhuang Weng
Dr. Taosheng Xu
Guest Editors

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