Text Detection, Localization, Segmentation and Recognition in Images
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This text describes how to implement text detection, localization, segmentation, and recognition in images using MATLAB. The implementation typically involves multiple stages: first using edge detection algorithms (like Canny) or MSER (Maximally Stable Extremal Regions) for text detection, then applying morphological operations or connected component analysis for precise text localization. For text segmentation, techniques such as Otsu's thresholding or region-based segmentation can separate characters from the background. Finally, OCR (Optical Character Recognition) functions like ocr() from MATLAB's Computer Vision Toolbox can be employed for character recognition. This comprehensive approach helps beginners quickly understand and master fundamental image processing and computer vision concepts through practical implementation examples.
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