Digital image processing consists of several components, starting with image acquisition. This involves capturing an image using sensors like cameras or scanners, followed by converting it into a digital format. Preprocessing, such as noise reduction and resizing, prepares the image for analysis. Image enhancement is another key component. Techniques like contrast adjustment, sharpening, and histogram equalization are applied to improve image quality and highlight specific features. This is especially useful in medical imaging, where enhancing details can aid in diagnosis. Image analysis is the final step. This includes segmentation, which divides an image into meaningful regions, and feature extraction, which identifies patterns or objects. Applications range from facial recognition to object detection in autonomous vehicles.
What are the components of digital image processing?
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