Applications of Thresholding
Thresholding techniques are used in various applications, including:
- Document Image Analysis: Thresholding is widely used to binarize text in scanned documents, making it easier for Optical Character Recognition (OCR) systems to process the text.
- Medical Imaging: In medical imaging, thresholding is used to segment anatomical structures in MRI or CT scans, aiding in diagnosis and treatment planning.
- Industrial Inspection: Thresholding is employed in industrial inspection systems to detect defects in manufactured products, ensuring quality control.
- Object Detection: In survillance footage or robotic vision systems, thresholding is used to identify and track objects, enhancing security and automation.
Image Thresholding Techniques in Computer Vision
Image thresholding is a technique in computer vision that converts a grayscale image into a binary image by setting each pixel to either black or white based on a specific threshold value. The article provides a comprehensive overview of various image thresholding techniques used in computer vision, detailing their processes, pros, cons, and applications.
Table of Content
- What is Image Thresholding?
- Thresholding Techniques in Computer Vision
- 1. Simple Thresholding
- 2. Adaptive Thresholding
- 3. Otsu’s Thresholding
- 4. Multilevel Thresholding
- 5. Color Thresholding
- 6. Local Thresholding
- 7. Global Thresholding
- 8. Iterative Thresholding
- Applications of Thresholding
- Conclusion
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