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Enabling self-driving cars to recognize lane markings, interpret traffic signs, and detect pedestrians in real time.

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| Resource | Format | Best for | |----------|--------|-----------| | – No, not free; but lecture slides are. | Slides + notes | Foundational algorithms | | OpenCV official tutorials | Web / PDF | Hands‑on coding | | CS148 (Stanford) lecture materials | Free PDF handouts | Mathematical foundations | | Book: “Image Processing and Analysis” (Acton) – older edition | Free via some university repositories | Practical implementation | | NPTEL – Digital Image Processing (Prof. P.K. Biswas) | YouTube + transcripts | Video lectures matching Indian syllabus |

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Segmentation is the process of partitioning a digital image into multiple segments (sets of pixels) to simplify or change its representation into something more meaningful. Techniques include edge detection, thresholding, and region-growing. Morphological processing provides tools for extracting image components that are useful in the representation and description of region shapes. Real-World Applications of DIP