When you step into the world of image processing, you’re bound to encounter “binarization.” It might seem difficult… but binarization is a fundamental technique in image processing that leads to various applications.
This article explains the mechanics of binarization, its use cases, and the benefits of learning it. Master binarization and expand your world of image processing!
Binarization is an image processing technique that represents an image in black and white (two colors).
The brightness of each pixel in the image is compared to a pre-set threshold value. Pixels with brightness above the threshold are represented as “white,” and pixels below the threshold are represented as “black.”
It’s like creating a black and white photo. For example:
・ If the threshold is set to 128, pixels with brightness of 128 or higher are white, and pixels with brightness of 127 or lower are black.
Binarization simplifies the image and has the effect of removing noise and emphasizing the outlines of objects.
Why perform binarization?
・ Improve image processing efficiency: By reducing it to two colors, you can reduce the amount of data and improve processing speed.
・ Facilitate feature extraction: The outlines and shapes of objects become clear, making image analysis and recognition easier.
・ Remove noise: Small noise is removed, making the image clearer.
Binarization is used in a variety of fields:
・ Document Scanning: Used to separate scanned documents into text and background, perform OCR (Optical Character Recognition) processing, and convert them into text data.
・ Barcode/QR Code Reading: Used to separate the black and white parts of barcodes and QR codes to recognize the codes.
・ Image Recognition: Used as pre-processing to extract image features in object and face recognition.
・ Medical Image Processing: Used to detect lesions and abnormalities in medical images such as X-rays and CT scans.
・ Autonomous Driving: Used to analyze images captured by cameras and recognize objects such as road signs and pedestrians.
・ Image Editing: Used to extract specific colors or create black and white photos.
Binarization is a foundational technology for realizing advanced image processing techniques and is used in a wide range of fields.
There are many benefits to learning binarization:
(1). Master the basics of image processing:
Binarization is one of the most basic techniques in image processing. By mastering binarization, you can deepen your understanding of image processing as a whole.
(2). Improve application skills:
Binarization is a foundational technology for various image processing techniques. By applying binarization, you can develop more advanced image processing techniques.
(3). Improve problem-solving skills:
You need to solve various problems such as how to set the binarization threshold and what pre-processing to perform.
(4). Become more employable:
Image processing technology is in high demand in the fields of AI and machine learning. Acquiring binarization skills can increase your chances of getting a job.
(5). Improve creativity:
You can create unique image expressions and artistic works by applying binarization.
Binarization is an essential technology for learning image processing and allows you to acquire skills that can be utilized in various fields.
This article explains the mechanics of binarization, its use cases, and the benefits of learning it. Master binarization and expand your world of image processing!
1. What is Binarization?
Binarization is an image processing technique that represents an image in black and white (two colors).
The brightness of each pixel in the image is compared to a pre-set threshold value. Pixels with brightness above the threshold are represented as “white,” and pixels below the threshold are represented as “black.”
It’s like creating a black and white photo. For example:
・ If the threshold is set to 128, pixels with brightness of 128 or higher are white, and pixels with brightness of 127 or lower are black.
Binarization simplifies the image and has the effect of removing noise and emphasizing the outlines of objects.
Why perform binarization?
・ Improve image processing efficiency: By reducing it to two colors, you can reduce the amount of data and improve processing speed.
・ Facilitate feature extraction: The outlines and shapes of objects become clear, making image analysis and recognition easier.
・ Remove noise: Small noise is removed, making the image clearer.
2. Where is it Used?
Binarization is used in a variety of fields:
・ Document Scanning: Used to separate scanned documents into text and background, perform OCR (Optical Character Recognition) processing, and convert them into text data.
・ Barcode/QR Code Reading: Used to separate the black and white parts of barcodes and QR codes to recognize the codes.
・ Image Recognition: Used as pre-processing to extract image features in object and face recognition.
・ Medical Image Processing: Used to detect lesions and abnormalities in medical images such as X-rays and CT scans.
・ Autonomous Driving: Used to analyze images captured by cameras and recognize objects such as road signs and pedestrians.
・ Image Editing: Used to extract specific colors or create black and white photos.
Binarization is a foundational technology for realizing advanced image processing techniques and is used in a wide range of fields.
3. What are the Benefits of Learning it?
There are many benefits to learning binarization:
(1). Master the basics of image processing:
Binarization is one of the most basic techniques in image processing. By mastering binarization, you can deepen your understanding of image processing as a whole.
(2). Improve application skills:
Binarization is a foundational technology for various image processing techniques. By applying binarization, you can develop more advanced image processing techniques.
(3). Improve problem-solving skills:
You need to solve various problems such as how to set the binarization threshold and what pre-processing to perform.
(4). Become more employable:
Image processing technology is in high demand in the fields of AI and machine learning. Acquiring binarization skills can increase your chances of getting a job.
(5). Improve creativity:
You can create unique image expressions and artistic works by applying binarization.
Binarization is an essential technology for learning image processing and allows you to acquire skills that can be utilized in various fields.
In conclusion
Binarization is an image processing technique that represents an image in black and white, and it’s used in various fields. By mastering binarization, you can learn the basics of image processing, improve application skills, and enhance problem-solving ability.
If you’re interested in the world of binarization, please refer to the following books! (access here)
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