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2024年2月11日发(作者：)
链接：如何在android处理图片（ 图像二值化、锐化、转换格式）
/
package ;
import cs2D;
import pace;
import Transform;
import TransformOp;
import edImage;
import onvertOp;
import odel;
import ImageSource;
import rabber;
public class ImageFilter {
private BufferedImage image;
private int iw, ih;
private int[] pixels;
public ImageFilter(BufferedImage image) {
= image;
iw = th();
ih = ght();
pixels = new int[iw * ih];
}
/** 图像二值化 */
public BufferedImage changeGrey() {
PixelGrabber pg = new PixelGrabber(rce(), 0, 0, iw, ih, pixels, 0, iw);
try {
xels();
} catch (InterruptedException e) {
tackTrace();
}
// 设定二值化的域值，默认值为100
int grey = 100;
// 对图像进行二值化处理，Alpha值保持不变
ColorModel cm = default();
for (int i = 0; i < iw * ih; i++) {
int red, green, blue;
int alpha = ha(pixels[i]);
if ((pixels[i]) > grey) {
red = 255;
} else {
red = 0;
}
if (en(pixels[i]) > grey) {
green = 255;
} else {
green = 0;
}
if (e(pixels[i]) > grey) {
blue = 255;
} else {
blue = 0;
}
pixels[i] = alpha << 24 | red << 16 | green << 8 | blue;
}
// 将数组中的象素产生一个图像
return roducerToBufferedImage(new MemoryImageSource(iw,
pixels, 0, iw));
}
/** 提升清晰度,进行锐化 */
public BufferedImage sharp() {
PixelGrabber pg = new PixelGrabber(rce(), 0, 0, iw, ih, pixels, 0, iw);
try {
xels();
} catch (InterruptedException e) {
tackTrace();
}
// 象素的中间变量
int tempPixels[] = new int[iw * ih];
for (int i = 0; i < iw * ih; i++) {
tempPixels[i] = pixels[i];
}
// 对图像进行尖锐化处理，Alpha值保持不变
ColorModel cm = default();
for (int i = 1; i < ih - 1; i++) {
for (int j = 1; j < iw - 1; j++) {
ih,
int alpha = ha(pixels[i * iw + j]);
// 对图像进行尖锐化
int red6 = (pixels[i * iw + j + 1]);
int red5 = (pixels[i * iw + j]);
int red8 = (pixels[(i + 1) * iw + j]);
int sharpRed = (red6 - red5) + (red8 - red5);
int green5 = en(pixels[i * iw + j]);
int green6 = en(pixels[i * iw + j + 1]);
int green8 = en(pixels[(i + 1) * iw + j]);
int sharpGreen = (green6 - green5) + (green8 - green5);
int blue5 = e(pixels[i * iw + j]);
int blue6 = e(pixels[i * iw + j + 1]);
int blue8 = e(pixels[(i + 1) * iw + j]);
int sharpBlue = (blue6 - blue5) + (blue8 - blue5);
if (sharpRed > 255) {
sharpRed = 255;
}
if (sharpGreen > 255) {
sharpGreen = 255;
}
if (sharpBlue > 255) {
sharpBlue = 255;
}
tempPixels[i * iw + j] = alpha << 24 | sharpRed << 16 | sharpGreen << 8 | sharpBlue;
}
}
// 将数组中的象素产生一个图像
return roducerToBufferedImage(new MemoryImageSource(iw,
tempPixels, 0, iw));
}
/** 中值滤波 */
public BufferedImage median() {
PixelGrabber pg = new PixelGrabber(rce(), 0, 0, iw, ih, pixels, 0, iw);
try {
xels();
} catch (InterruptedException e) {
tackTrace();
ih,
}
// 对图像进行中值滤波，Alpha值保持不变
ColorModel cm = default();
for (int i = 1; i < ih - 1; i++) {
for (int j = 1; j < iw - 1; j++) {
int red, green, blue;
int alpha = ha(pixels[i * iw + j]);
// int red2 = (pixels[(i - 1) * iw + j]);
int red4 = (pixels[i * iw + j - 1]);
int red5 = (pixels[i * iw + j]);
int red6 = (pixels[i * iw + j + 1]);
// int red8 = (pixels[(i + 1) * iw + j]);
// 水平方向进行中值滤波
if (red4 >= red5) {
if (red5 >= red6) {
red = red5;
} else {
if (red4 >= red6) {
red = red6;
} else {
red = red4;
}
}
} else {
if (red4 > red6) {
red = red4;
} else {
if (red5 > red6) {
red = red6;
} else {
red = red5;
}
}
}
// int green2 = en(pixels[(i - 1) * iw + j]);
int green4 = en(pixels[i * iw + j - 1]);
int green5 = en(pixels[i * iw + j]);
int green6 = en(pixels[i * iw + j + 1]);
// int green8 = en(pixels[(i + 1) * iw + j]);
// 水平方向进行中值滤波
if (green4 >= green5) {
if (green5 >= green6) {
green = green5;
} else {
if (green4 >= green6) {
green = green6;
} else {
green = green4;
}
}
} else {
if (green4 > green6) {
green = green4;
} else {
if (green5 > green6) {
green = green6;
} else {
green = green5;
}
}
}
// int blue2 = e(pixels[(i - 1) * iw + j]);
int blue4 = e(pixels[i * iw + j - 1]);
int blue5 = e(pixels[i * iw + j]);
int blue6 = e(pixels[i * iw + j + 1]);
// int blue8 = e(pixels[(i + 1) * iw + j]);
// 水平方向进行中值滤波
if (blue4 >= blue5) {
if (blue5 >= blue6) {
blue = blue5;
} else {
if (blue4 >= blue6) {
blue = blue6;
} else {
blue = blue4;
}
}
} else {
if (blue4 > blue6) {
blue = blue4;
} else {
if (blue5 > blue6) {
blue = blue6;
} else {
blue = blue5;
}
}
}
pixels[i * iw + j] = alpha << 24 | red << 16 | green << 8 | blue;
}
}
// 将数组中的象素产生一个图像
return roducerToBufferedImage(new MemoryImageSource(iw,
pixels, 0, iw));
}
/** 线性灰度变换 */
public BufferedImage lineGrey() {
PixelGrabber pg = new PixelGrabber(rce(), 0, 0, iw, ih, pixels, 0, iw);
try {
xels();
} catch (InterruptedException e) {
tackTrace();
}
// 对图像进行进行线性拉伸，Alpha值保持不变
ColorModel cm = default();
for (int i = 0; i < iw * ih; i++) {
int alpha = ha(pixels[i]);
int red = (pixels[i]);
int green = en(pixels[i]);
int blue = e(pixels[i]);
// 增加了图像的亮度
red = (int) (1.1 * red + 30);
green = (int) (1.1 * green + 30);
blue = (int) (1.1 * blue + 30);
if (red >= 255) {
red = 255;
}
if (green >= 255) {
green = 255;
}
if (blue >= 255) {
blue = 255;
}
ih,
pixels[i] = alpha << 24 | red << 16 | green << 8 | blue;
}
// 将数组中的象素产生一个图像
return roducerToBufferedImage(new MemoryImageSource(iw, ih,
pixels, 0, iw));
}
/** 转换为黑白灰度图 */
public BufferedImage grayFilter() {
ColorSpace cs = tance(_GRAY);
ColorConvertOp op = new ColorConvertOp(cs, null);
return (image, null);
}
/** 平滑缩放 */
public BufferedImage scaling(double s) {
AffineTransform tx = new AffineTransform();
(s, s);
AffineTransformOp op = new AffineTransformOp(tx, _BILINEAR);
return (image, null);
}
public BufferedImage scale(Float s) {
int srcW = th();
int srcH = ght();
int newW = (srcW * s);
int newH = (srcH * s);
// 先做水平方向上的伸缩变换
BufferedImage tmp=new BufferedImage(newW, newH, e());
Graphics2D g= Graphics();
for (int x = 0; x < newW; x++) {
p(x, 0, 1, srcH);
// 按比例放缩
age(image, x - x * srcW / newW, 0, null);
}
// 再做垂直方向上的伸缩变换
BufferedImage dst = new BufferedImage(newW, newH, e());
g = Graphics();
for (int y = 0; y < newH; y++) {
p(0, y, newW, 1);
// 按比例放缩
age(tmp, 0, y - y * srcH / newH, null);
}
return dst;
}
}
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