euglena/lib/opencv_processing/examples/LumaVsGray/LumaVsGray.pde

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2016-07-10 00:36:44 -07:00
/*
Luma is a better measure of perceived brightness than
the tradition grayscale created by averaging R, G, and B channels.
This sketch demonstrates converting an image to LAB color space
and accessign the Luma channel for comparison with the more common
grayscale version. Uses un-wrapped OpenCV cvtColor() function.
*/
import gab.opencv.*;
// Import the OpenCV Improc class,
// it has the cvtColor() function we need.
import org.opencv.imgproc.Imgproc;
OpenCV opencv;
PImage colorImage, grayImage;
void setup() {
colorImage = loadImage("flashlight.jpg");
opencv = new OpenCV(this, colorImage);
size(opencv.width, opencv.height);
// Save the gray image so we can compare it to Luma
grayImage = opencv.getSnapshot();
// Use built-in OpenCV function to conver the color image from BGR to LAB color space.
Imgproc.cvtColor(opencv.getColor(), opencv.getColor(), Imgproc.COLOR_BGR2Lab);
// Since the channels start out in the order BGRA,
// Converting to LAB will put the Luma in the B channel
opencv.setGray(opencv.getB());
}
void draw() {
background(0);
pushMatrix();
scale(0.5);
image(colorImage, colorImage.width/2, 0);
image(grayImage, 0, colorImage.height);
image(opencv.getOutput(), colorImage.width, colorImage.height);
popMatrix();
fill(255);
text("GRAY", 30, height -25);
text("LUMA", width/2 + 30, height - 25);
}