Image processing and computer vision are closely related fields that deal with analyzing and understanding images. Image processing refers to the manipulation of images through computational techniques to enhance or extract information. This can include operations like resizing, filtering, enhancing contrast, and removing noise from images. The goal is typically to make the image more useful for further analysis or to prepare the data for machine learning models. On the other hand, computer vision is broader and focuses on enabling machines to interpret and understand visual information. It involves tasks such as object recognition, motion tracking, image classification, and scene reconstruction. While image processing prepares the image data, computer vision goes further by allowing computers to "understand" what is in the image, similar to how humans can recognize objects or patterns. For example, in an autonomous vehicle, image processing is used to clean and prepare the images taken by cameras, while computer vision helps the car understand the road, recognize pedestrians, and make navigation decisions.
What is image processing and computer vision?
- Master Video AI
- Exploring Vector Database Use Cases
- Vector Database 101: Everything You Need to Know
- Mastering Audio AI
- Optimizing Your RAG Applications: Strategies and Methods
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
How does SHAP help in explaining machine learning models?
SHAP, or Shapley Additive Explanations, is a method used to interpret the predictions of machine learning models by quan
What are some good books for Character Recognition?
Character recognition, often referred to as Optical Character Recognition (OCR), is a fascinating field within computer
How does overfitting occur in deep learning models?
Overfitting in deep learning models occurs when a model learns to perform very well on the training data but fails to ge