"基于MATLAB的图像处理与数据提取方法研究"

This thesis delves into the research and application of image processing and data extraction using MATLAB. Divided into two main sections, the first section explores various techniques in image processing including cropping, rotation, noise removal, histogram analysis, pixel manipulation, image resizing, and texture region detection. The author demonstrates how MATLAB can be utilized to simplify these processes and enhance the overall quality of image processing. The second section focuses on data extraction from images, highlighting the importance of extracting meaningful information from visual data. By utilizing MATLAB tools and algorithms, the author explores methods for extracting text, shapes, patterns, and other critical data elements from images. These techniques provide valuable insights for researchers, engineers, and professionals seeking to extract and analyze data from visual content. Overall, this research showcases the power and versatility of MATLAB in image processing and data extraction. By leveraging MATLAB's capabilities, researchers and practitioners can efficiently manipulate images, extract valuable data, and enhance their understanding of complex visual information. This thesis serves as a valuable resource for those interested in leveraging MATLAB for advanced image processing and data extraction applications.