The process of how a computer “sees” an image involves several steps, from capturing the image to interpreting its contents using computational methods. Here’s an overview of the key stages:
I. Image Acquisition:
1. Capture:
- An image is acquired by a device such as a camera, scanner, or other imaging devices.
2. Digitalization:
- The continuous analog signal captured by the device is converted into a digital format. Each pixel in the image is represented by numerical values (usually in the form of intensities or color channels).
II. Image Preprocessing:
1. Normalization:
- Pixel values are often normalized to a standard range (e.g., [0, 1] for intensity values or [0, 255] for 8-bit color channels).
2. Resizing/Scaling:
- Images may be resized or scaled to a specific resolution, especially when working with models that have fixed input dimensions.