JavaCV中BufferedImage到CV_8UC3的高效转换指南

public Frame grab() {
    int frame_w = ps3eye.getResolution().w;
    int frame_h = ps3eye.getResolution().h;
    BufferedImage frame = new BufferedImage(frame_w, frame_h, BufferedImage.TYPE_INT_ARGB);
    int[] pixels = ((DataBufferInt) frame.getRaster().getDataBuffer()).getData();
    ps3eye.getFrame(pixels); // 假设此方法填充像素数据

    Mat image = new Mat(frame.getHeight(), frame.getWidth(), CV_32SC4); // 注意Mat的宽高顺序
    image.put(0, 0, pixels);

    // 复杂的通道分离、重排和合并操作
    List<Mat> channels = new ArrayList<>(4);
    Core.split(image, channels);
    Collections.swap(channels,0,channels.size()-1); // 假设需要交换通道以匹配BGR或RGB顺序
    Core.merge(channels, image);

    Mat finalImage = new Mat(frame.getHeight(), frame.getWidth(), CV_8UC3);
    cvtColor(image, finalImage, COLOR_RGBA2BGR); // 从RGBA转换为BGR

    return CONVERTER.convert(finalImage);
}

import org.bytedeco.opencv.opencv_core.Mat;
import org.bytedeco.opencv.global.opencv_core;
import org.bytedeco.javacv.Frame;
import org.bytedeco.javacv.OpenCVFrameConverter;

import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;

import static org.bytedeco.opencv.global.opencv_core.CV_8UC3;

public class ImageProcessor {

    // 假设ps3eye是一个已经初始化的PS3Eye摄像头对象
    // 假设CONVERTER是一个OpenCVFrameConverter.ToMat对象
    private PS3Eye ps3eye; // 示例：PS3Eye摄像头接口
    private OpenCVFrameConverter.ToMat CONVERTER = new OpenCVFrameConverter.ToMat(); // 示例：JavaCV转换器

    public Frame grab() {
        int frame_w = ps3eye.getResolution().w;
        int frame_h = ps3eye.getResolution().h;

        // 关键：直接创建BufferedImage.TYPE_3BYTE_BGR类型
        BufferedImage frame = new BufferedImage(frame_w, frame_h, BufferedImage.TYPE_3BYTE_BGR);

        // 直接获取字节数组数据
        byte[] pixels = ((DataBufferByte) frame.getRaster().getDataBuffer()).getData();

        // 假设ps3eye.getFrame(pixels)能直接将摄像头数据填充到此字节数组中
        // 并且数据格式为BGR，每个通道8位
        ps3eye.getFrame(pixels); 
        // framerate.update(); // 假设有帧率更新逻辑

        // 创建CV_8UC3类型的Mat，并直接将字节数组数据放入
        // 注意Mat的构造函数通常是(rows, cols, type)，即(height, width, type)
        Mat finalImage = new Mat(frame_h, frame_w, CV_8UC3);
        finalImage.put(0, 0, pixels);

        // 后续的OpenCV操作可以直接在finalImage上进行，无需额外转换
        // 例如：SimpleBlobDetector, findContours, cvtColor等
        // cvtColor(finalImage, grayImage, COLOR_BGR2GRAY);

        return CONVERTER.convert(finalImage);
    }
}

// 示例：PS3Eye摄像头接口，实际需要根据PS3Eye库的API实现
class PS3Eye {
    public Resolution getResolution() {
        return new Resolution(640, 480); // 示例分辨率
    }
    public void getFrame(byte[] pixels) {
        // 实际实现：从摄像头获取一帧数据并填充到pixels数组中
        // 确保数据格式为BGR，每个像素3字节
        // 示例：填充一些测试数据
        for (int i = 0; i < pixels.length; i += 3) {
            pixels[i] = (byte) (i % 256);     // Blue
            pixels[i+1] = (byte) ((i+1) % 256); // Green
            pixels[i+2] = (byte) ((i+2) % 256); // Red
        }
    }
}

// 示例：分辨率类
class Resolution {
    int w, h;
    public Resolution(int w, int h) { this.w = w; this.h = h; }
}