Java: Color Image to Grayscale | BufferedImage Image Filters
In this second video in my Java Image Filters series, I show how to convert color images to grayscale using Java's BufferedImage library. Conversion to Grayscale is the first step in applying machine learning feature recognition algorithms to an image.
This Java image processing series will explain how to write image filters using the Java BufferedImage library. Videos will teach how to edit individual pixels in an image in Java code. All code is provided free on GitHub. We'll write image filters to:
load and display an image;
convert an image to grayscale;
pixelate an image;
shrink or resize an image;
apply a gaussian blur;
brighten an image; and
do edge detection in an image.
which we'll later use for pattern recognition.
After this series, follow-on videos will teach ways to recognize license plate numbers by coding our own machine learning algorithms in Java.
All the code in this playlist was written in SublimeText on a MacBook, and can be downloaded at the link below.
Code: https://github.com/joeyajames/Java/tr...
#java #images
![Star Citizen - Making Money with an Aurora [GIVEAWAY]](https://images.videosashka.com/watch/o7JyUhfZ3Wo)
