Correct option is A
Binarization is the process of converting a picture into a binary format, where each pixel is represented as either black (0) or white (1). This technique is commonly used in image processing to simplify images, particularly in scenarios like Optical Character Recognition (OCR) or document scanning.
Important Key Points:
1.
Purpose of Binarization:
· Simplifies the image by reducing it to two levels: foreground and background.
· Useful for pattern recognition and text extraction in scanned documents.
2.
Common Technique:
· A threshold value is chosen, and all pixels above the threshold are set to white (1), while those below are set to black (0).
3.
Applications:
· OCR systems for text recognition.
· Image segmentation for binary classification.
Knowledge Booster:
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Thresholding: Binarization typically involves thresholding, where a cutoff value determines the binary state of each pixel.
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Grayscale Conversion: Converts an image to shades of gray but does not reduce it to binary.
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Quantization: Reduces the range of pixel intensity values but doesn’t limit to binary.
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Segmentation: Divides an image into meaningful parts, often used after binarization.