Java: Edge Detection | How to Code Image Filter Algorithms in Java

This tutorial video shows you how the Sobel Edge Detection algorithm works and how to program it in Java using the Buffered Image library. It explains the importance of Gaussian Blur for detecting edges, how to calculate Euclidean distance between pixels, and how to adjust edge threshold.
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.
#java #images

[xpatrickjoeltekam]

Thanks for the video really helped me.

[damirfattakhov]

Great video, but i don't really understand why do we need to create a 2D array storing the value of each pixel, since we do not really reuse them and the "for loop" pretty much does the job.