Computer vision is a broader field that encompasses the use of image processing techniques to enable machines to interpret visual data. While image processing refers specifically to the manipulation and enhancement of images through algorithms (such as filtering, edge detection, or noise reduction), computer vision goes a step further by understanding the content within the images. Image processing techniques are often used as a precursor in computer vision tasks. For example, in object detection, image processing is first used to enhance the image, filter out noise, or identify edges before applying computer vision algorithms to recognize and classify objects. The relation between the two is that image processing forms a foundational step in computer vision systems, ensuring that raw visual data is clean, structured, and ready for analysis. Image segmentation—dividing an image into regions of interest—is another key aspect where image processing techniques like thresholding are employed before higher-level computer vision tasks such as object recognition or scene understanding are performed.
What is Computer Vision and its relation with Image Processing?

- GenAI Ecosystem
- Getting Started with Milvus
- Embedding 101
- Mastering Audio AI
- Natural Language Processing (NLP) Advanced Guide
- 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
What is the role of user feedback in Explainable AI systems?
User feedback plays a crucial role in the development and refinement of Explainable AI (XAI) systems. At its core, feedb
What is robot perception, and how does it relate to task execution?
Robot perception refers to the process by which a robot interprets information from its environment through various sens
What tools are available for working with LLMs?
A wide variety of tools are available for working with LLMs, catering to different stages of development, deployment, an