MLX90640 红外热成像仪测温模块开发笔记(四)损坏和不良像素的处理
如前“开发笔记(一)”所说,MLX90640 可能存在不超过 4 个像素的损坏或者不良像素,在温度计算过程完成后,这些不良像素点会得到错误的温度数据,对于处理这些不良数据 MLX 也给出了推荐方法和具体的函数。(其实就是找相邻的正常的温度数据取平均来代替不良数据)
前面开发笔记(一)的内容中所说的 API 库,里面缺少了对不良像素点的处理函数,在这里补上。
int CheckAdjacentPixels(uint16_t pix1, uint16_t pix2)
{
int pixPosDif;
pixPosDif = pix1 - pix2;
if(pixPosDif > -34 && pixPosDif < -30)
{
return -6;
}
if(pixPosDif > -2 && pixPosDif < 2)
{
return -6;
}
if(pixPosDif > 30 && pixPosDif < 34)
{
return -6;
}
return 0;
}
float GetMedian(float *values, int n)
{
float temp;
for(int i=0; i<n-1; i )
{
for(int j=i 1; j<n; j )
{
if(values[j] < values[i])
{
temp = values[i]; values[i] = values[j]; values[j] = temp;
}
}
if(n%2==0)
{
return ((values[n/2] values[n/2 - 1]) / 2.0);
}
else
{
}
return values[n/2];
}
int IsPixelBad(uint16_t pixel,paramsMLX90640 *params)
{
for(int i=0; i<5; i )
{
if(pixel == params->outlierPixels[i] || pixel == params->brokenPixels[i])
{
return 1;
}
}
return 0;
}
void MLX90640_BadPixelsCorrection(uint16_t *pixels, float *to, int mode, paramsMLX90640
*params)
{
float ap[4]; uint8_t pix; uint8_t line; uint8_t column;
pix = 0;
while(pixels[pix] != 0xFFFF)
{
line = pixels[pix]>>5;
column = pixels[pix] - (line<<5);
if(mode == 1)
{
if(line == 0)
{
if(column == 0)
{
to[pixels[pix]] = to[33];
}
else if(column == 31)
{
}
else
{
}
}
to[pixels[pix]] = to[62];
to[pixels[pix]] = (to[pixels[pix] 31] to[pixels[pix] 33])/2.0;
else if(line == 23)
{
if(column == 0)
{
to[pixels[pix]] = to[705];
}
else if(column == 31)
{
}
else
{
}
}
to[pixels[pix]] = to[734];
to[pixels[pix]] = (to[pixels[pix]-33] to[pixels[pix]-31])/2.0;
else if(column == 0)
{
to[pixels[pix]] = (to[pixels[pix]-31] to[pixels[pix] 33])/2.0;
}
else if(column == 31)
{
}
else
{
to[pixels[pix]] = (to[pixels[pix]-33] to[pixels[pix] 31])/2.0;
ap[0] = to[pixels[pix]-33];
ap[1] = to[pixels[pix]-31]; ap[2] = to[pixels[pix] 31]; ap[3] = to[pixels[pix] 33];
to[pixels[pix]] = GetMedian(ap,4);
}
else
{
}
if(column == 0)
{
to[pixels[pix]] = to[pixels[pix] 1];
}
else if(column == 1 || column == 30)
{
to[pixels[pix]] = (to[pixels[pix]-1] to[pixels[pix] 1])/2.0;
}
else if(column == 31)
{
}
else
{
0)
to[pixels[pix]] = to[pixels[pix]-1];
if(IsPixelBad(pixels[pix]-2,params) == 0 && IsPixelBad(pixels[pix] 2,params) ==
{
ap[0] = to[pixels[pix] 1] - to[pixels[pix] 2]; ap[1] = to[pixels[pix]-1] - to[pixels[pix]-2];
if(fabs(ap[0]) > fabs(ap[1]))
{
}
else
{
}
else
{
}
to[pixels[pix]] = to[pixels[pix]-1] ap[1];
to[pixels[pix]] = to[pixels[pix] 1] ap[0];
to[pixels[pix]] = (to[pixels[pix]-1] to[pixels[pix] 1])/2.0;
}
}
}
pix = pix 1;
}
}
用法很简单,在开发笔记(三)MLX90640_CalculateTo(Frame, MLXPars, 0.95, Tr, Temp);之后添加两行即可。如下(斜体是添加的内容):
……
MLX90640_CalculateTo(Frame, MLXPars, 0.95, Tr, Temp); MLX90640_BadPixelsCorrection(MLXPars.brokenPixels, Temp, 1, MLXPars); MLX90640_BadPixelsCorrection(MLXPars.outlierPixels, Temp, 1, MLXPars);
……
/*
经过上面的处理后,Temp 中的损坏和不良像素点已经处理,Temp 数组中是处理完成后的
768 个温度值。
*/