javaCV图像处理之Frame、Mat和IplImage三者相互转换(使用openCV进行Mat和IplImage转换)
作者：互联网
前言：本篇文章依赖四个jar包，其中javacv.jar，javacpp.jar和opencv.jar为固定jar包，opencv-系统环境.jar为选配（根据自己的系统平台，x64还是x86而定）
须知：
OpenCVFrameConverter.ToIplImage可以用于将Frame转换为Mat和IplImage，Mat和IplImage转为Frame
Mat和IplImage之间的转换可以使用opeoCV库中提供的功能
使用方式：
static OpenCVFrameConverter.ToIplImage converter = new OpenCVFrameConverter.ToIplImage();
public static void converter(Frame frame) {
// 将Frame转为Mat
Mat mat = converter.convertToMat(frame);
// 将Mat转为Frame
Frame convertFrame1 = converter.convert(mat);
// 将Frame转为IplImage
IplImage image1 = converter.convertToIplImage(frame);
IplImage image2 = converter.convert(frame);
// 将IplImage转为Frame
Frame convertFrame2 = converter.convert(image1);
//Mat转IplImage
IplImage matImage = new IplImage(mat);
//IplImage转Mat
Mat mat2 = new Mat(matImage);
}
测试：
public static void main(String[] args) throws Exception {
// 抓取取本机摄像头
OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);
grabber.start();
//取一帧视频（图像）
converter(grabber.grab());
grabber.stop();
}源码一览：
/**
* A utility class to map data between {@link Frame} and {@link IplImage} or {@link Mat}.
* Since this is an abstract class, one must choose between two concrete classes:
* {@link ToIplImage} or {@link ToMat}.
*
* @author Samuel Audet
*/
public abstract class OpenCVFrameConverter<F> extends FrameConverter<F> {
IplImage img;
Mat mat;
public static class ToIplImage extends OpenCVFrameConverter<IplImage> {
@Override public Frame convert(IplImage img) { return super.convert(img); }
@Override public IplImage convert(Frame frame) { return convertToIplImage(frame); }
}
public static class ToMat extends OpenCVFrameConverter<Mat> {
@Override public Frame convert(Mat mat) { return super.convert(mat); }
@Override public Mat convert(Frame frame) { return convertToMat(frame); }
}
public static int getFrameDepth(int depth) {
switch (depth) {
case IPL_DEPTH_8U: case CV_8U: return Frame.DEPTH_UBYTE;
case IPL_DEPTH_8S: case CV_8S: return Frame.DEPTH_BYTE;
case IPL_DEPTH_16U: case CV_16U: return Frame.DEPTH_USHORT;
case IPL_DEPTH_16S: case CV_16S: return Frame.DEPTH_SHORT;
case IPL_DEPTH_32F: case CV_32F: return Frame.DEPTH_FLOAT;
case IPL_DEPTH_32S: case CV_32S: return Frame.DEPTH_INT;
case IPL_DEPTH_64F: case CV_64F: return Frame.DEPTH_DOUBLE;
default: return -1;
}
}
public static int getIplImageDepth(int depth) {
switch (depth) {
case Frame.DEPTH_UBYTE: return IPL_DEPTH_8U;
case Frame.DEPTH_BYTE: return IPL_DEPTH_8S;
case Frame.DEPTH_USHORT: return IPL_DEPTH_16U;
case Frame.DEPTH_SHORT: return IPL_DEPTH_16S;
case Frame.DEPTH_FLOAT: return IPL_DEPTH_32F;
case Frame.DEPTH_INT: return IPL_DEPTH_32S;
case Frame.DEPTH_DOUBLE: return IPL_DEPTH_64F;
default: return -1;
}
}
static boolean isEqual(Frame frame, IplImage img) {
return img != null && frame != null && frame.image != null && frame.image.length > 0
&& frame.imageWidth == img.width() && frame.imageHeight == img.height()
&& frame.imageChannels == img.nChannels() && getIplImageDepth(frame.imageDepth) == img.depth()
&& new Pointer(frame.image[0]).address() == img.imageData().address()
&& frame.imageStride * Math.abs(frame.imageDepth) / 8 == img.widthStep();
}
public IplImage convertToIplImage(Frame frame) {
if (frame == null || frame.image == null) {
return null;
} else if (frame.opaque instanceof IplImage) {
return (IplImage)frame.opaque;
} else if (!isEqual(frame, img)) {
int depth = getIplImageDepth(frame.imageDepth);
img = depth < 0 ? null : IplImage.createHeader(frame.imageWidth, frame.imageHeight, depth, frame.imageChannels)
.imageData(new BytePointer(new Pointer(frame.image[0].position(0))))
.widthStep(frame.imageStride * Math.abs(frame.imageDepth) / 8)
.imageSize(frame.image[0].capacity() * Math.abs(frame.imageDepth) / 8);
}
return img;
}
public Frame convert(IplImage img) {
if (img == null) {
return null;
} else if (!isEqual(frame, img)) {
frame = new Frame();
frame.imageWidth = img.width();
frame.imageHeight = img.height();
frame.imageDepth = getFrameDepth(img.depth());
frame.imageChannels = img.nChannels();
frame.imageStride = img.widthStep() * 8 / Math.abs(frame.imageDepth);
frame.image = new Buffer[] { img.createBuffer() };
frame.opaque = img;
}
return frame;
}
public static int getMatDepth(int depth) {
switch (depth) {
case Frame.DEPTH_UBYTE: return CV_8U;
case Frame.DEPTH_BYTE: return CV_8S;
case Frame.DEPTH_USHORT: return CV_16U;
case Frame.DEPTH_SHORT: return CV_16S;
case Frame.DEPTH_FLOAT: return CV_32F;
case Frame.DEPTH_INT: return CV_32S;
case Frame.DEPTH_DOUBLE: return CV_64F;
default: return -1;
}
}
static boolean isEqual(Frame frame, Mat mat) {
return mat != null && frame != null && frame.image != null && frame.image.length > 0
&& frame.imageWidth == mat.cols() && frame.imageHeight == mat.rows()
&& frame.imageChannels == mat.channels() && getMatDepth(frame.imageDepth) == mat.depth()
&& new Pointer(frame.image[0]).address() == mat.data().address()
&& frame.imageStride * Math.abs(frame.imageDepth) / 8 == (int)mat.step();
}
public Mat convertToMat(Frame frame) {
if (frame == null || frame.image == null) {
return null;
} else if (frame.opaque instanceof Mat) {
return (Mat)frame.opaque;
} else if (!isEqual(frame, mat)) {
int depth = getMatDepth(frame.imageDepth);
mat = depth < 0 ? null : new Mat(frame.imageHeight, frame.imageWidth, CV_MAKETYPE(depth, frame.imageChannels),
new Pointer(frame.image[0].position(0)), frame.imageStride * Math.abs(frame.imageDepth) / 8);
}
return mat;
}
public Frame convert(Mat mat) {
if (mat == null) {
return null;
} else if (!isEqual(frame, mat)) {
frame = new Frame();
frame.imageWidth = mat.cols();
frame.imageHeight = mat.rows();
frame.imageDepth = getFrameDepth(mat.depth());
frame.imageChannels = mat.channels();
frame.imageStride = (int)mat.step() * 8 / Math.abs(frame.imageDepth);
frame.image = new Buffer[] { mat.createBuffer() };
frame.opaque = mat;
}
return frame;
}
}标签：case,转换,Mat,Frame,DEPTH,return,IplImage,frame 来源： https://blog.51cto.com/u_6329998/2718467