Image processing in MATLAB involves using the software's extensive library of functions to perform tasks such as reading, displaying, modifying, and saving images. With MATLAB, users can apply various filters and effects to images, such as grayscale conversion, edge detection, and blurring, to analyze and enhance image data. The intuitive syntax and powerful visualization tools make MATLAB a popular choice for professionals and researchers in fields like computer vision, medical imaging, and digital media. This process not only facilitates the manipulation of image properties but also enables the extraction of valuable insights from visual data, thereby expanding the possibilities for innovation and analysis in image-based projects.
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Mujahid (2024). Image processing using matlab (https://www.mathworks.com/matlabcentral/fileexchange/158661-image-processing-using-matlab), MATLAB Central File Exchange. 检索来源 .
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