原创 一个基于C6000的优化代码的例子

基于TI C6000的，计算一幅图像的特征值.蓝色为原来的代码，黑色为优化后的DSP代码

//
#ifdef __cplusplus
#pragma CODE_SECTION(".text:ComputeZoningFeature");
#else
#pragma CODE_SECTION(ComputeZoningFeature, ".text:ComputeZoningFeature");
#endif
void ComputeZoningFeature( IUCHAR *img, IINT16 width, IINT16 height,
                           IINT16 BoundaryBlockSize, IINT16 InterBlockSize,
                           IINT16 *FeatureVector, IINT16 *n )
{
 #if 0 // 原代码
  IINT16 cols1, cols2, cols3;
  IINT16 rows1, rows2, rows3;
  IINT16 HalfBlock, diff;
  IINT16 i, j;
  IUCHAR *p;
  IINT16 row, col;
  IINT16 NumFeaturesPerRow; //, NumFeatures;
  IINT16 w, h, k;

  cols1 = BoundaryBlockSize;
  cols3 = BoundaryBlockSize;
  cols2 = (width-BoundaryBlockSize*2)/InterBlockSize;
  rows1 = BoundaryBlockSize;
  rows3 = BoundaryBlockSize;
  rows2 = (height-BoundaryBlockSize*2)/InterBlockSize;
  NumFeaturesPerRow = 8;//cols2 + 2;

  for(i=0;i<128;i++)
   FeatureVector=0;
  // first row.
  // first column.
  p = img;
  for( i=0; i<height; i++ )
  {
     if( i < rows1 ) row = 0;
     else if( i >= height-rows3 )
     row = 1 + (height-rows1-rows3)/InterBlockSize;
     else
     row = 1 + (i-rows1)/InterBlockSize;