Applications of Image segmentation
Below are the list of different uses cases of Image Segmentation in Image processing:
- Autonomous Vehicles: Image segmentation helps autonomous vehicles in identifying and segmenting objects like real time road lane detections, vehicles, pedestrians, traffic signs for safe navigation.
- Medical Imaging Analysis: Image segmentation used for segmenting organs, tumours and other anatomical structures from medical images like X-Rays, MRIs, and CT Scans, helps in diagnosis and treatment planning.
- Satellite Image Analysis: Used in analysing satellite images for landcover classification, urban planning, and environmental changes.
- Object Detection and Tracking: Segmenting different objects in image or video for different tasks like person detection, anomaly detection, and detecting different activities in security systems.
- Content Moderation: Used in monitoring and segmenting inappropriate content from images or videos for social media platforms.
- Smart Agriculture: Image segmentation methods are used by farmers and agronomists for crop health monitoring, estimating yield and detect plant diseases from images and videos.
- Industrial Inspection: Image segmentation helps in manufacturing process for quality control, detecting defects in products.
Explain Image Segmentation : Techniques and Applications
Image segmentation is one of the key computer vision tasks, It separates objects, boundaries, or structures within the image for more meaningful analysis. Image segmentation plays an important role in extracting meaningful information from images, enabling computers to perceive and understand visual data in a manner that humans understand, view, and perceive. In this article let us discuss in detail image segmentation, types of image segmentation, how image segmentation is done, and its use cases in different domains.
Table of Content
- What is Image Segmentation?
- Why do we need Image Segmentation?
- Image segmentation vs. object detection vs. image classification
- Semantic Classes in Image Segmentation: Things and Stuff.
- Semantic segmentation
- Instance segmentation
- Panoptic segmentation
- Traditional image segmentation techniques
- Deep learning image segmentation models
- Applications of Image segmentation
- Conclusion:
Contact Us