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如果我有一个数字的 RBG 代码,例如 -16777216
(黑色),我如何使用该颜色代码找到其他类似的黑色色调?
我试图通过将所有非 -16777216
的像素标记为白色来将图像转换为单色。然而,经常会发现不同深浅的黑色,但由于不完全匹配而丢失。
编辑:我遇到了一些麻烦。当我尝试使用这种颜色来查找黑色阴影时,我可以忽略它们,同时将其他像素转换为白色,这是我的结果:
来源:
结果:
代码:
package test;
import java.awt.Color;
import java.awt.image.BufferedImage;
import java.io.File;
import java.net.URL;
import javax.imageio.ImageIO;
public class Test
{
public static void main(String[] args)
{
try
{
BufferedImage source = ImageIO.read( new URL("http://i.imgur.com/UgdqfUY.png"));
//-16777216 = black:
BufferedImage dest = makeMonoChromeFast(source, -16777216);
File result = new File("D:/result.png");
ImageIO.write(dest, "png", result);
}
catch (Exception e)
{
e.printStackTrace();;
}
}
public static BufferedImage makeMonoChromeFast(BufferedImage source, int foreground)
{
int background = -1; //white;
Color fg = new Color(foreground);
int color = 0;
for (int y = 0; y < source.getHeight(); y++)
{
for (int x = 0; x < source.getWidth(); x++)
{
color = source.getRGB(x, y);
if ( color == foreground )
continue;
if (! isIncluded(fg, color, 50))
source.setRGB(x, y, background);;
}
}
return source;
}
public static boolean isIncluded(Color target, int pixelColor, int tolerance)
{
Color pixel = new Color(pixelColor);
int rT = target.getRed();
int gT = target.getGreen();
int bT = target.getBlue();
int rP = pixel.getRed();
int gP = pixel.getGreen();
int bP = pixel.getBlue();
return(
(rP-tolerance<=rT) && (rT<=rP+tolerance) &&
(gP-tolerance<=gT) && (gT<=gP+tolerance) &&
(bP-tolerance<=bT) && (bT<=bP+tolerance) );
}
}
最佳答案
您可以使用此“查找具有差异容差的颜色”方法。
public static boolean isIncluded(Color target, Color pixel, int tolerance) {
int rT = target.getRed();
int gT = target.getGreen();
int bT = target.getBlue();
int rP = pixel.getRed();
int gP = pixel.getGreen();
int bP = pixel.getBlue();
return(
(rP-tolerance<=rT) && (rT<=rP+tolerance) &&
(gP-tolerance<=gT) && (gT<=gP+tolerance) &&
(bP-tolerance<=bT) && (bT<=bP+tolerance) );
}
此处用于获取摩托车 (motorcycle.jpg
) 的轮廓 (motorcycle-03.jpg
),同时剥离“微弱的灰色覆盖层” .
这段代码需要一些耐心(运行时)。请参阅Smoothing a jagged path代码可以更快地完成同样的事情。
import java.awt.*;
import java.awt.image.BufferedImage;
import java.awt.geom.Area;
import javax.imageio.ImageIO;
import java.io.File;
import java.util.Date;
import javax.swing.*;
/* Motorcycle image courtesy of ShutterStock
http://www.shutterstock.com/pic-13585165/stock-vector-travel-motorcycle-silhouette.html */
class ImageOutline {
public static Area getOutline(BufferedImage image, Color color, boolean include, int tolerance) {
Area area = new Area();
for (int x=0; x<image.getWidth(); x++) {
for (int y=0; y<image.getHeight(); y++) {
Color pixel = new Color(image.getRGB(x,y));
if (include) {
if (isIncluded(color, pixel, tolerance)) {
Rectangle r = new Rectangle(x,y,1,1);
area.add(new Area(r));
}
} else {
if (!isIncluded(color, pixel, tolerance)) {
Rectangle r = new Rectangle(x,y,1,1);
area.add(new Area(r));
}
}
}
}
return area;
}
public static boolean isIncluded(Color target, Color pixel, int tolerance) {
int rT = target.getRed();
int gT = target.getGreen();
int bT = target.getBlue();
int rP = pixel.getRed();
int gP = pixel.getGreen();
int bP = pixel.getBlue();
return(
(rP-tolerance<=rT) && (rT<=rP+tolerance) &&
(gP-tolerance<=gT) && (gT<=gP+tolerance) &&
(bP-tolerance<=bT) && (bT<=bP+tolerance) );
}
public static BufferedImage drawOutline(int w, int h, Area area) {
final BufferedImage result = new BufferedImage(
w,
h,
BufferedImage.TYPE_INT_RGB);
Graphics2D g = result.createGraphics();
g.setColor(Color.white);
g.fillRect(0,0,w,h);
g.setClip(area);
g.setColor(Color.red);
g.fillRect(0,0,w,h);
g.setClip(null);
g.setStroke(new BasicStroke(1));
g.setColor(Color.blue);
g.draw(area);
return result;
}
public static BufferedImage createAndWrite(
BufferedImage image,
Color color,
boolean include,
int tolerance,
String name)
throws Exception {
int w = image.getWidth();
int h = image.getHeight();
System.out.println("Get Area: " + new Date() + " - " + name);
Area area = getOutline(image, color, include, tolerance);
System.out.println("Got Area: " + new Date() + " - " + name);
final BufferedImage result = drawOutline(w,h,area);
displayAndWriteImage(result, name);
return result;
}
public static void displayAndWriteImage(BufferedImage image, String fileName) throws Exception {
ImageIO.write(image, "png", new File(fileName));
JOptionPane.showMessageDialog(null, new JLabel(new ImageIcon(image)));
}
public static void main(String[] args) throws Exception {
final BufferedImage outline = ImageIO.read(new File("motorcycle.jpg"));
BufferedImage crop = outline.getSubimage(17,35,420,270);
displayAndWriteImage(crop, "motorcycle-01.png");
BufferedImage crude = createAndWrite(crop, Color.white, false, 60, "motorcycle-02.png");
BufferedImage combo = createAndWrite(crude, Color.red, true, 0, "motorcycle-03.png");
}
}
<小时/>
通过问题中看到的代码,容差为 150,我看到了这一点。
关于java - 如何在Java中找到不同颜色的深浅?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/18941781/
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