Digital image processing consists of several components, starting with image acquisition. This involves capturing an image using sensors like cameras or scanners, followed by converting it into a digital format. Preprocessing, such as noise reduction and resizing, prepares the image for analysis. Image enhancement is another key component. Techniques like contrast adjustment, sharpening, and histogram equalization are applied to improve image quality and highlight specific features. This is especially useful in medical imaging, where enhancing details can aid in diagnosis. Image analysis is the final step. This includes segmentation, which divides an image into meaningful regions, and feature extraction, which identifies patterns or objects. Applications range from facial recognition to object detection in autonomous vehicles.
What are the components of digital image processing?
- Natural Language Processing (NLP) Advanced Guide
- Exploring Vector Database Use Cases
- Getting Started with Zilliz Cloud
- Advanced Techniques in Vector Database Management
- Mastering Audio AI
- 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 can I use Haystack with external data sources like databases or files?
To use Haystack with external data sources such as databases or files, you first need to integrate those data sources in
Are there open-source frameworks for implementing LLM guardrails?
Yes, there are open-source frameworks available for implementing LLM guardrails, providing developers with tools to crea
What is the role of personalization in recommender systems?
Personalization plays a crucial role in recommender systems by tailoring suggestions to the unique preferences and behav