[JAVA] Mandels to create an image of the Mandelbrot set
Introduction
As a practice of manipulating pixels in image processing, I made an image of the Mandelbrot set (see Wikipedia for details). Java gives you the big picture, and C # and C ++ give you an image of the appropriately enlarged part. Basically, it seems faster to write directly to the internal array than to use a method like ʻimage.setPixel (i, j, color)`.
Java Whereas C # and C ++ are arranged for each channel, Java is an element that combines ARGB into one 32-bit integer.
import java.awt.Color;
import java.awt.image.BufferedImage;
import javax.imageio.ImageIO;
import java.io.File;
import java.io.IOException;
public class Mandelbrot{
public static final int WIDTH = 1000;
public static final int HEIGHT = 1000;
public static void main(String[] args){
int[] pixels = new int[WIDTH*HEIGHT];
for(int i = 0; i < WIDTH; i++){
for(int j = 0; j < HEIGHT; j++){
pixels[WIDTH*j+i] = calcMandelbrot(i, j);
}
}
BufferedImage image = new BufferedImage(WIDTH, HEIGHT, BufferedImage.TYPE_INT_ARGB);
image.setRGB(0, 0, WIDTH, HEIGHT, pixels, 0, WIDTH);
File file = new File("mandelbrot.png ");
try{
ImageIO.write(image, "png", file);
}catch(IOException e){
System.out.println(e);
}
}
//Mandelbrot set parameters
public static final double xMin = -2.1;
public static final double xMax = 0.5;
public static final double yMin = -1.3;
public static final double yMax = 1.3;
public static final int nMax = 300;
//point(i, j)Calculate the color for AHSV
public static int calcMandelbrot(int i, int j){
final double c = xMin+i*(xMax-xMin)/WIDTH;
final double d = yMin+j*(yMax-yMin)/HEIGHT;
double x1 = 0.0, y1 = 0.0, x2, y2;
int n = 0;
for(n = 0; n < nMax; n++){
x2 = x1*x1-y1*y1+c;
y2 = 2*x1*y1+d;
if(x2*x2+y2*y2 > 4.0) break;
x1 = x2;
y1 = y2;
}
final float t = (float)n/nMax;
if(t >= 1.0f){
return 0xff000000; //black
}else{
return 0xff000000 | Color.HSBtoRGB(t, 0.6f, 1.0f);
}
}
}
result:
Reference: [Manipulating image pixels with Java | Naberogu](https://www.google.co.jp/url?sa=t&rct=j&q=1esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwi5s -2q-4XSAhWKgrwKHYoDAugQFggaMAA & url = http% 3A% 2F% 2Fblog.nabe-ch.net% 2F% 3Fp% 3D532 & usg = AFQjCNHl-RIE4VzT1sbyfrpzRNMPOLTUeA & sig2 = ckRLdb2H-aPog
C# It seems that there is no conversion between HSV and RGB in C #, so Wikipedia I made it with reference to.
using System;
using System.Drawing;
using System.Drawing.Imaging;
namespace Mandelbrot{
static class Program{
public const int WIDTH = 1000;
public const int HEIGHT = 1000;
public static void Main(string[] args){
Bitmap image = new Bitmap(WIDTH, HEIGHT, PixelFormat.Format32bppArgb);
BitmapData data = image.LockBits(
new Rectangle(0, 0, WIDTH, HEIGHT),
ImageLockMode.WriteOnly,
PixelFormat.Format32bppArgb);
byte[] buf = new byte[4*WIDTH*HEIGHT];
for(int i = 0; i < WIDTH; i++){
for(int j = 0; j < HEIGHT; j++){
byte a = 0, r = 0, g = 0, b = 0;
CalcMandelbrot(i, j, ref a, ref r, ref g, ref b);
buf[4*(WIDTH*j+i)+3] = a;
buf[4*(WIDTH*j+i)+2] = r;
buf[4*(WIDTH*j+i)+1] = g;
buf[4*(WIDTH*j+i)] = b;
}
}
System.Runtime.InteropServices.Marshal.Copy(buf, 0, data.Scan0, buf.Length);
image.UnlockBits(data);
image.Save("mandelbrot.png ");
}
//Mandelbrot set parameters
public const double xMin = -0.7406219098542647;
public const double xMax = -0.7406219098519411;
public const double yMin = 0.15805475052205210;
public const double yMax = 0.15805475052421664;
public const int nMax = 18000;
//point(i, j)Calculate the color for AHSV
public static void CalcMandelbrot(int i, int j, ref byte a, ref byte r, ref byte g, ref byte b){
double c = xMin+i*(xMax-xMin)/WIDTH;
double d = yMin+j*(yMax-yMin)/HEIGHT;
double x1 = 0.0, y1 = 0.0, x2, y2;
int n = 0;
for(n = 0; n < nMax; n++){
x2 = x1*x1-y1*y1+c;
y2 = 2*x1*y1+d;
if(x2*x2+y2*y2 > 4.0) break;
x1 = x2;
y1 = y2;
}
double t = (double)n/nMax;
if(t >= 1.0){
a = 0xff;
r = g = b = 0; //black
}else{
ARGBfromAHSV(ref a, ref r, ref g, ref b, 1.0, 0.55, 0.3+0.3*Math.Sin(12*Math.PI*t), 0.7+0.3*Math.Cos(16*Math.PI*t));
}
}
//Convert from ARGB to AHSV
public static void ARGBfromAHSV(ref byte aOut, ref byte r, ref byte g, ref byte b, double aIn, double h, double s, double v){
aOut = (byte)(255*aIn);
r = (byte)(255*v);
g = (byte)(255*v);
b = (byte)(255*v);
if (s <= 0.0) return;
h *= 6.0;
int i = (int)h;
double f = h-i;
switch(i){
case 0:
g = (byte)(g*(1-s*(1-f)));
b = (byte)(b*(1-s));
break;
case 1:
r = (byte)(r*(1-s*f));
b = (byte)(b*(1-s));
break;
case 2:
r = (byte)(r*(1-s));
b = (byte)(b*(1-s*(1-f)));
break;
case 3:
r = (byte)(r*(1-s));
g = (byte)(g*(1-s*f));
break;
case 4:
r = (byte)(r*(1-s*(1-f)));
g = (byte)(g*(1-s));
break;
case 5:
g = (byte)(g*(1-s));
b = (byte)(b*(1-s*f));
break;
}
}
}
}
result:
Reference: [[C #] How to access bitmaps in pixels at high speed (GetPixel / SetPixel vs BitmapData speed comparison)](http://www.84kure.com/blog/2014/07/13/c-% E3% 83% 93% E3% 83% 83% E3% 83% 88% E3% 83% 9E% E3% 83% 83% E3% 83% 97% E3% 81% AB% E3% 83% 94% E3% 82% AF% E3% 82% BB% E3% 83% AB% E5% 8D% 98% E4% BD% 8D% E3% 81% A7% E9% AB% 98% E9% 80% 9F% E3% 81% AB% E3% 82% A2% E3% 82% AF% E3% 82% BB% E3% 82% B9 /)
C++ I used OpenCV. This time it's all opaque so it doesn't make any sense, but it seems that OpenCV cannot convert between HSV and RGB when alpha value is included (c ++ --OpenCV cv :: cvtColor drops alpha channel, How to keep alpha data?).
#include <cmath>
#include <opencv2/opencv.hpp>
#include <opencv2/imgproc.hpp>
void calcMandelbrot(int i, int j, unsigned char& h, unsigned char& s, unsigned char& v);
constexpr int width = 1000;
constexpr int height = 1000;
int main(){
cv::Mat image(height, width, CV_8UC3);
for(int i = 0; i < width; i++){
for(int j = 0; j < height; j++){
unsigned char h, s, v;
calcMandelbrot(i, j, h, s, v);
image.data[3*(width*j+i)] = h;
image.data[3*(width*j+i)+1] = s;
image.data[3*(width*j+i)+2] = v;
}
}
cv::cvtColor(image, image, CV_HSV2RGB);
cv::imwrite("mandelbrot.png ", image);
return 0;
}
//Mandelbrot set parameters
constexpr double xMin = -1.4467108885212991;
constexpr double xMax = -1.4467096751794892;
constexpr double yMin = -1.3212921606783162e-5;
constexpr double yMax = -1.2078843332240347e-5;
constexpr int nMax = 1000;
//point(i, j)Calculate the color for HSV
//The range of h is from 0 to 180
void calcMandelbrot(int i, int j, unsigned char& h, unsigned char& s, unsigned char& v){
const double c = xMin+i*(xMax-xMin)/width;
const double d = yMin+j*(yMax-yMin)/height;
double x1 = 0.0, y1 = 0.0, x2, y2;
int n = 0;
for(n = 0; n < nMax; n++){
x2 = x1*x1-y1*y1+c;
y2 = 2*x1*y1+d;
if(x2*x2+y2*y2 > 4.0) break;
x1 = x2;
y1 = y2;
}
const double t = static_cast<double>(n)/nMax;
if(t >= 1.0){
h = s = v = 0; //black
}else{
h = static_cast<unsigned char>(180*0.3);
s = static_cast<unsigned char>(255*(0.3+0.3*sin(12*M_PI*t)));
v = static_cast<unsigned char>(255*(0.7+0.3*cos(16*M_PI*t)));
}
}
result:
reference: ・ Learning OpenCV 2 -Count green pixels
Recommended Posts