How to do image binarization using PHP and OpenCV library?

How to use PHP and OpenCV libraries for image binarization?

Image binarization is a commonly used image processing technology that can convert color or grayscale images into binary images. In a binary image, each pixel in the image has only two possible values, usually black and white. Binary images are often used in image segmentation, pattern recognition, image processing and analysis and other fields.

PHP is a popular server-side scripting language, while OpenCV is a powerful open source computer vision library that provides a wealth of image processing and computer vision algorithms. Combining the PHP and OpenCV libraries, we can easily implement image binarization.

Before we begin, we need to ensure that the PHP and OpenCV libraries have been installed and configured to run in PHP.

Next, we will use the PHP extension package OpenCV-PHP. This package provides corresponding functions and classes with the OpenCV library. We can install the OpenCV-PHP package through the following command:

composer require eooiste/opencv-php

After completing the installation, we can use the OpenCV-PHP library for image binarization. Below is a sample code that shows how to implement image binarization using PHP and OpenCV libraries:

<?php
require 'vendor/autoload.php';

use OpenCVImageGreyImage;
use OpenCVHistogramHistogram;
use OpenCVHistogramHistogramBuilder;
use OpenCVHistogramHistogramTypes;
use OpenCVHistogramHistogramComparator;
use OpenCVUtilityConversion;
use OpenCVThresholdThreshold;

// 加载图像
$imagePath = 'image.jpg';
$image = new GreyImage($imagePath);

// 将图像转换为灰度图像
$greyImage = Conversion::colorToGray($image);

// 应用OTSU二值化算法
$binaryImage = Threshold::otsu($greyImage);

// 将二值化图像保存到文件
$binaryImagePath = 'binary_image.jpg';
$binaryImage->saveImage($binaryImagePath);

echo '图像二值化处理完成！';
?>

In the above sample code, we first load the image to be processed and convert it to a grayscale image . Next, we use the OTSU algorithm in the OpenCV library to binarize the image. Finally, we save the binarized image to a file. You can test this code by replacing image.jpg with your own image path.

In addition to the OTSU algorithm, the OpenCV library also provides other image binarization algorithms, such as adaptive threshold algorithm and fixed threshold algorithm. You can choose the appropriate algorithm for image binarization according to actual needs.

In this article, we introduced how to use PHP and OpenCV libraries for image binarization. With this powerful tool, we can quickly and easily achieve the binary effect of images. I hope this article will be helpful for you to learn image processing technology!

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