I have written a class for blockwise process.
BhBlocks.h
class BhBlocks
{
private:
int colCount , rowCount;
float colSize, rowSize;
CvRect rct;
void compute();
public:
vector<vector<CvRect>> rects;
void setColsRowsCount(int colCount,int rowCount);
void setColRowSize(float colSize,float rowSize);
void setRect(IplImage* srcImage);
void setRect(const CvRect& srcRect);
int getColCount();
int getRowCount();
float getColSize();
float getRowSize();
BhBlocks(const IplImage* srcImage,float colSize=-1,float rowSize=-1,int colCount=-1,int rowCount=-1);
BhBlocks(const Mat& srcMat,float colSize=-1,float rowSize=-1,int colCount=-1,int rowCount=-1);
BhBlocks(const CvRect& srcImage,float colSize=-1,float rowSize=-1,int colCount=-1,int rowCount=-1);
void drawBlocks(IplImage* srcImage,CvScalar color,int thickness);
void displayBlocks(char* title,IplImage* srcImage,CvScalar color,int thickness);
};
BhBlocks.cpp
void BhBlocks::setColsRowsCount(int colCount,int rowCount)
{
this->colSize = -1;
this->rowSize = -1;
this->colCount = colCount;
this->rowCount = rowCount;
}
void BhBlocks::setColRowSize(float colSize,float rowSize)
{
this->colCount = -1;
this->rowCount = -1;
this->colSize = colSize;
this->rowCount = rowCount;
compute();
}
void BhBlocks::setRect(IplImage* srcImage)
{
rct = cvGetImageROI(srcImage);
compute();
}
void BhBlocks::setRect(const CvRect& srcRect)
{
rct = srcRect;
compute();
}
int BhBlocks::getColCount()
{
return colCount;
}
int BhBlocks::getRowCount()
{
return rowCount;
}
float BhBlocks::getColSize()
{
return colSize;
}
float BhBlocks::getRowSize()
{
return rowSize;
}
BhBlocks::BhBlocks(const IplImage* srcImage,float colSize,float rowSize,int colCount,int rowCount)
{
rct = cvGetImageROI(srcImage);
this->colCount = colCount;
this->rowCount = rowCount;
if (colSize ==-1 && colSize ==-1)
return;
if (rowSize == -1)
rowSize = colSize;
this->colSize = colSize;
this->rowSize = rowSize;
compute();
}
BhBlocks::BhBlocks(const Mat& srcMat,float colSize,float rowSize,int colCount,int rowCount)
{
rct.x = 0;
rct.y = 0;
rct.width = srcMat.cols;
rct.height = srcMat.rows;
this->colCount = colCount;
this->rowCount = rowCount;
if (colSize == -1 && colSize == -1 && colCount ==-1 && rowCount == -1)
return ;
if ( rowSize == -1)
rowSize = colSize;
this->colSize = colSize;
this->rowSize = rowSize;
compute();
}
BhBlocks::BhBlocks(const CvRect& srcRect,float colSize,float rowSize,int colCount,int rowCount)
{
rct = srcRect;
this->colCount = colCount;
this->rowCount = rowCount;
if (colSize ==-1 && colSize ==-1)
return;
if (rowSize == -1)
rowSize = colSize;
this->colSize = colSize;
this->rowSize = rowSize;
compute();
}
void BhBlocks::compute()
{
float cSize;
float rSize;
if (colSize != -1 && rowSize != -1)
{
colCount = int(rct.width / colSize);
rowCount = int(rct.height / rowSize);
cSize = (float)rct.width / colCount;
rSize = (float)rct.height / rowCount;
}
else if (colCount != -1 && rowCount != -1)
{
colSize = (float)rct.width / colCount;
rowSize = (float)rct.height / rowCount;
cSize = colSize;
rSize = rowSize;
}
else return;
rects.clear();
rects.resize(rowCount);
for (int i=0; i < rowCount;i++)
rects[i].resize(colCount);
float sumCol = 0;
for (int j=0; j < colCount;j++)
{
float newSumCol = sumCol + cSize;
float curColSize = int( newSumCol - int(sumCol) );
for (int i=0; i < rowCount;i++)
{
rects[i][j].width = curColSize;
rects[i][j].x = sumCol;
}
sumCol = newSumCol;
}
float sumRow = 0;
for (int i=0; i < rowCount;i++)
{
float newSumRow = sumRow + rSize;
float curRowSize = int( newSumRow - int(sumRow) );
for (int j=0; j < colCount;j++)
{
rects[i][j].height = curRowSize;
rects[i][j].y = sumRow;
}
sumRow = newSumRow;
}
}
void BhBlocks::drawBlocks(IplImage* srcImage,CvScalar color,int thickness)
{
for (int i=0; i < rowCount;i ...The code on the link given is still based on the old C - style API. In order to work fluently and much more readable, you could use the C++ interface easily for this.
// Original image
Mat inputImage = imread( 'location.jpg' );
// Use region of interest approach
Mat outputImage = inputImage( Rect(x, y, width, heigth) );
This can be easily placed into a loop for optimal going through the image.
When you create the a new Mat by borrowing elements from another Mat, the matrix is not continuous. This will not pass isContinuous() tests in various methods. isContinuous()
Thats true, but in most cases it is enough. If you want to avoid this, then use Mat outputImage = inputImage( Rect(x, y, width, heigth) ).clone(); and copy back the end result.
http://stackoverflow.com/questions/4875372/how-to-slice-cut-an-image-into-pieces
I think this is fairly close to what you need.
Asked: 2013-02-18 09:12:03 -0600
Seen: 12,033 times
Last updated: Mar 17 '13
