Annotation Services
- Bounding Box
- Polygon
- 3D LiDAR
- Geospatial
- Line Annotation
- Autonomous Vehicle
- Image Annotation
- Image Masking
- Cuboid Annotation
- Semantic Segmentation
- Video Annotation
- Key Point Annotation
- Text Annotation
- Audio Annotation
- Instance Segmentation
- Data labelling Services
- Image Classification Services
- Image Recognition Services
- Image Processing Services
Image Processing Services
Image processing is the process of altering, analysing or restoring an image to improve it or to prepare it for another operation. It is quite common in many sectors including the healthcare, security, entertainment and others and its usage varies from medical image processing to satellite images analysis.
Image Processing Techniques:
Image Enhancement: Improving the quality of an image to make it more comprehensible and easier to work with and this usually entails eliminations or alterations of noise, contrast or sharpness.
Noise Reduction: The removal of noise that appears as unwanted variations in the pixel intensity and which may hide features of interest.
Edge Detection: Segmentation of image to identify where one region ends and another begins for the purpose of drawing attention to specific structures.
Image Filtering: Filtering is the operation that is done on the pixels in order to change the image based on the surrounding pixels, and is commonly used to slide, enhance or reduce the features of an image.
Image Transformation: The outcomes that alter the shape or the look of an image.
Image Segmentation: Process of splitting the image into small parts, often in order to focus on the certain objects or structures.
Color Space Conversion: Image transformation for the purpose of improving the efficiency of processing in different color spaces.
Image Restoration: Restoration of an image that has been blurred or noisy or has motion blur or lens distortion.
Feature Detection and Extraction: A process of selecting main elements or concepts of an image for further usage in such operations as recognition or matching.
Template Matching: Identifying regions of an image that is similar to a certain pattern. Often used in object detection and in industries specifically in quality control.
Image Compression: Compressing an image and still keeping its critical features intact.
Pattern Recognition: Recognition of certain shapes or items within images in preparation for classification or recognition of objects within images.
3D Image Processing: The technique of image processing in 3D, where images are commonly applied in medical imaging, for instance CT scans, or for depth in 3D vision systems.
Expert Image Processing Solutions provider
Whether you are dealing with a large amount of image and/or high frequency of image flow, then Image processing is important for the growth of your business. Annotation Support will help you to control your operational expenses and infrastructure cost by offering professional and economical AI image processing services.
Frequently Asked Questions
Find answers to the most commonly asked questions about our annotation services.
