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?
- Retrieval Augmented Generation (RAG) 101
- Accelerated Vector Search
- Getting Started with Milvus
- Natural Language Processing (NLP) Advanced Guide
- 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
What methods are used to detect shot boundaries in videos?
Detecting shot boundaries in videos is a crucial task in video analysis and editing. This process involves identifying p
How does DeepSeek ensure scalability in model deployment?
DeepSeek ensures scalability in model deployment by leveraging cloud-based architecture, efficient resource management,
How do organizations train personnel for big data adoption?
Organizations train personnel for big data adoption through a structured combination of workshops, hands-on training, an