QZXing decoder; decoder.setDecoder( QZXing::QZXing::DecoderFormat_PDF_417); decoder.setSourceFilterType(QZXing::SourceFilter_ImageNormal); decoder.setTryHarderBehaviour(QZXing::TryHarderBehaviour_ThoroughScanning| QZXing::TryHarderBehaviour_Rotate ); QString retMsg = decoder.decodeImage(img);
时间: 2023-06-02 09:03:51 浏览: 71
这是关于编程的技术问题,我可以尝试帮您解答。该代码段使用 QZXing 库进行解码,该库支持多种解码格式,此处使用的是 PDF417 格式。源过滤器类型设置为 QZXing::SourceFilter_ImageNormal,以识别普通图像。尝试更彻底的扫描和旋转的操作,提高解码的准确性。最后,将解码结果存储在 retMsg 变量中。
相关问题
QZXing 识别复杂二维码的参数设置
QZXing是一个用于生成和识别条码和二维码的开源库。要识别复杂二维码,你可以通过设置一些参数来实现。以下是一些常用的参数设置:
1. 设置识别的图像:
```cpp
QImage image("path/to/image.png");
QZXing decoder;
decoder.setDecoder(QZXing::DecoderFormat_QR_CODE); // 设置解码器为QR_CODE
QString result = decoder.decodeImage(image);
```
2. 设置解码器格式:
```cpp
QZXing decoder;
decoder.setDecoder(QZXing::DecoderFormat_QR_CODE); // 设置解码器为QR_CODE
```
3. 设置识别的编码格式:
```cpp
QZXing decoder;
decoder.setDecoder(QZXing::DecoderFormat_QR_CODE); // 设置解码器为QR_CODE
decoder.setSourceFilter(QZXing::SourceFilter_Image); // 设置源过滤器为Image
decoder.setTryHarder(true); // 设置尝试更多的解码方式
decoder.setTryRotate(true); // 设置尝试旋转图像
decoder.setCharacterSet("UTF-8"); // 设置字符集为UTF-8
```
4. 设置识别的区域:
```cpp
QZXing decoder;
decoder.setDecoder(QZXing::DecoderFormat_QR_CODE); // 设置解码器为QR_CODE
decoder.setArea(QRect(0, 0, image.width(), image.height())); // 设置识别的区域为整个图像
```
5. 设置识别的缩放比例:
```cpp
QZXing decoder;
decoder.setDecoder(QZXing::DecoderFormat_QR_CODE); // 设置解码器为QR_CODE
decoder.setScale(2); // 设置缩放比例为2
```
这些是一些常用的参数设置,你可以根据需要进行调整。通过设置这些参数,你可以实现对复杂二维码的识别。
how to create a PAL decoder block step by step in gnuradio grc
To create a PAL decoder block in GNU Radio Companion (GRC), you can follow these steps:
1. Open GNU Radio Companion and create a new flow graph.
2. Drag a "QT GUI Frequency Sink" block onto the flow graph canvas and connect it to the output of your PAL decoder block. This will allow you to visualize the output of your decoder.
3. Drag a "Feedforward AGC" block onto the flow graph canvas and connect it to the output of your PAL decoder block. This block will adjust the gain of the signal to a constant level.
4. Drag a "Low Pass Filter" block onto the flow graph canvas and connect it to the output of the AGC block. This block will remove high-frequency noise from the signal.
5. Drag a "Throttle" block onto the flow graph canvas and connect it to the output of the low pass filter block. This block limits the rate at which the signal is processed to prevent overloading the CPU.
6. Drag a "QT GUI Time Sink" block onto the flow graph canvas and connect it to the output of the throttle block. This block will allow you to visualize the output of the decoder in the time domain.
7. Finally, add a "PAL Decoder" block to the flow graph. You can find this block in the "Digital" section of the block library. Connect the input of the decoder block to your PAL signal source and the output to the input of the AGC block.
8. Configure the PAL Decoder block according to your signal's characteristics, such as the frequency offset and the type of PAL signal being used.
9. Save the flow graph and run it to see the output of your PAL decoder block.
Note that the specific steps may vary depending on your signal source and the requirements of your PAL decoder.
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