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)
- 2019 年 11 月 1 日
- 筆記
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本文链接：https://blog.csdn.net/eguid_1/article/details/53218461
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; } }
