In various cases, you may need to convert the RGB images to grayscale or black and white, for example, in image processing, etc. In accordance with that, in this article, you will learn how to convert an RGB image to grayscale using Java. Moreover, the article will cover grayscaling and binarization of the images explicitly.
- Java API for Converting Images to Grayscale
- Convert Images to Grayscale in Java
- Convert Images to Black and White with Binarization
Java API to Convert Image to Grayscale
In order to convert RGB images to grayscale, we’ll use Aspose.Imaging for Java. It is a Java image processing API that allows you to manipulate popular image formats seamlessly. You can either download the API or install it using the following Maven configurations.
<repository>
<id>AsposeJavaAPI</id>
<name>Aspose Java API</name>
<url>http://repository.aspose.com/repo/</url>
</repository><dependency>
<groupId>com.aspose</groupId>
<artifactId>aspose-imaging-java</artifactId>
<version>21.7</version>
<classifier>jdk16</classifier>
</dependency>Convert an Image to Grayscale in Java
The following are the steps to convert an RGB image to grayscale in Java.
- First, load the image using the Image class.
- Then, cast the image into a RasterCachedImage object.
- Cache the image using RasterCachedImage.cacheData() method.
- Convert image to grayscale using RasterCachedImage.grayscale() method.
- Finally, save the image using RasterCachedImage.save(String) method.
The following code sample shows how to convert an image to grayscale using Java.
Input Image
The following is a sample image used in this article.
Converted to Grayscale
The following is the image after conversion to grayscale.
Convert Image to Black and White with Binarization
In binarization, each pixel in an image can have only two possible values; 0 or 1. Here, 0 denotes the absence and 1 denotes the presence of the color. Aspose.Imaging supports two binarization methods i.e. binarization with fixed and binarization with Otsu threshold.
Binarization with Fixed Threshold in Java
The following are the steps to perform binarization on an image using fixed threshold.
- First, load the image using the Image class.
- Then, cast the image into a RasterCachedImage object.
- Cache the image using RasterCachedImage.cacheData() method.
- Convert image to black and white using RasterCachedImage.binarizeFixed() method.
- Finally, save the image using RasterCachedImage.save(String) method.
The following Java code applies binarization to an image and converts it to black and white.
Binarization with Otsu Threshold in Java
The following are the step to convert an image to black and white with Otsu threshold.
- First, load the image using the Image class.
- Cast the image into a RasterCachedImage object.
- Cache the image using RasterCachedImage.cacheData() method.
- Convert image to black and white using RasterCachedImage.binarizeOtsu() method.
- Finally, save the image using RasterCachedImage.save(String) method.
The following code sample shows how to convert an image to black and white with Otsu threshold using Java.
Get a Free API License
You can get a free temporary license in order to use the API without evaluation limitations.
Conclusion
In this article, you have learned how to convert an image to grayscale and black and white using Java. Moreover, you have seen how to apply binarization to the images with fixed or Otsu threshold. In addition, you can explore more about the Java image processing API using documentation. Also, you can share your queries with us via our forum.
