stm32 图像融合代码

图像融合是将多幅图像融合成一幅图像的过程，常用于图像增强、图像拍摄等领域。在STM32上实现图像融合需要借助外部设备，如摄像头模块和显示屏模块，并使用对应的驱动库和算法库。

以下是一个基于HAL库和OpenCV库的图像融合代码示例，实现了将两幅图像按照一定权重融合的功能：

#include "stm32f4xx_hal.h"
#include "ov7670.h"
#include "lcd.h"
#include "core_cm4.h"
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"

#define CAMERA_BUFFER_SIZE 320*240*2

OV7670_CAMERA_HandleTypeDef ov7670;
uint8_t camera_buffer[CAMERA_BUFFER_SIZE];
uint16_t display_buffer[LCD_PIXEL_WIDTH*LCD_PIXEL_HEIGHT];

void SystemClock_Config(void);

int main(void)
{
  HAL_Init();
  SystemClock_Config();

  ov7670.Init.CAMERA_Ratio = CAMERA_Ratio_4_3;
  ov7670.Init.CAMERA_FrameRate = CAMERA_FrameRate_30fps;
  ov7670.Init.CAMERA_Brightness = CAMERA_Brightness_50;
  ov7670.Init.CAMERA_Contrast = CAMERA_Contrast_0;
  ov7670.Init.CAMERA_Saturation = CAMERA_Saturation_0;
  ov7670.Init.CAMERA_HueDegree = CAMERA_HueDegree_0;
  ov7670.Init.CAMERA_DMA_Handle = &hdma_dcmi;

  HAL_DCMI_Start_DMA(&hdcmi, DCMI_MODE_CONTINUOUS, (uint32_t)camera_buffer, CAMERA_BUFFER_SIZE/2);

  while (1)
  {
    // 将摄像头采集到的图像转换成OpenCV格式
    cv::Mat src(240, 320, CV_8UC2, camera_buffer);
    cv::Mat img1, img2;
    cv::cvtColor(src, img1, cv::COLOR_YUV2BGR_YUYV);

    // 读取另一幅图像
    img2 = cv::imread("image2.jpg");

    // 图像融合
    cv::Mat out;
    cv::addWeighted(img1, 0.5, img2, 0.5, 0, out);

    // 将融合后的图像转换成LCD显示格式
    cv::Mat dst(LCD_PIXEL_HEIGHT, LCD_PIXEL_WIDTH, CV_16UC3, display_buffer);
    cv::cvtColor(out, dst, cv::COLOR_BGR2RGB);

    // 在LCD上显示图像
    LCD_ShowImage(display_buffer);
  }
}

void SystemClock_Config(void)
{
  RCC_OscInitTypeDef RCC_OscInitStruct = {0};
  RCC_ClkInitTypeDef RCC_ClkInitStruct = {0};

  /** Initializes the RCC Oscillators according to the specified parameters
  * in the RCC_OscInitTypeDef structure.
  */
  RCC_OscInitStruct.OscillatorType = RCC_OSCILLATORTYPE_HSE;
  RCC_OscInitStruct.HSEState = RCC_HSE_ON;
  RCC_OscInitStruct.PLL.PLLState = RCC_PLL_ON;
  RCC_OscInitStruct.PLL.PLLSource = RCC_PLLSOURCE_HSE;
  RCC_OscInitStruct.PLL.PLLM = 8;
  RCC_OscInitStruct.PLL.PLLN = 336;
  RCC_OscInitStruct.PLL.PLLP = RCC_PLLP_DIV2;
  RCC_OscInitStruct.PLL.PLLQ = 7;
  if (HAL_RCC_OscConfig(&RCC_OscInitStruct) != HAL_OK)
  {
    Error_Handler();
  }
  /** Initializes the CPU, AHB and APB buses clocks
  */
  RCC_ClkInitStruct.ClockType = RCC_CLOCKTYPE_HCLK|RCC_CLOCKTYPE_SYSCLK
                              |RCC_CLOCKTYPE_PCLK1|RCC_CLOCKTYPE_PCLK2;
  RCC_ClkInitStruct.SYSCLKSource = RCC_SYSCLKSOURCE_PLLCLK;
  RCC_ClkInitStruct.AHBCLKDivider = RCC_SYSCLK_DIV1;
  RCC_ClkInitStruct.APB1CLKDivider = RCC_HCLK_DIV4;
  RCC_ClkInitStruct.APB2CLKDivider = RCC_HCLK_DIV2;

  if (HAL_RCC_ClockConfig(&RCC_ClkInitStruct, FLASH_LATENCY_5) != HAL_OK)
  {
    Error_Handler();
  }
}

上述代码中，使用了STM32 HAL库和OV7670摄像头驱动库完成了摄像头采集图像的功能，并使用了STM32 LCD驱动库完成了图像显示的功能。同时，使用了OpenCV库实现了图像融合的功能，将融合后的图像转换成LCD显示格式，并在LCD上显示。需要注意的是，由于STM32的计算能力有限，图像处理的复杂度较高时会影响系统的实时性和稳定性。