What does "Patchification" mean?
Table of Contents
Patchification is a method used in image processing, specifically in tasks like image segmentation. It involves breaking down an image into smaller parts, called patches. This helps in analyzing and processing the image more effectively.
How It Works
When an image is divided into patches, each patch can be examined separately. This is useful because it allows models to focus on specific areas of the image that may contain important details. By looking at these smaller pieces, the model can make better decisions about what is happening in the overall image.
Benefits
Patchification has several advantages. It makes it easier for computer models to manage large images without needing a lot of computing power. This is especially important in situations where resources are limited, such as in small clinics or emergency settings. Additionally, by using patches, the models can improve their accuracy in identifying different parts of an image, such as organs in medical scans.