Confidence Region Identification and Contour Detection in MRI Image

Algorithm 2

Level set algorithm with setting parameter over contour.

	Input: BIGGESTBLOBIMAGE, it comes from Algorithm 1
	1. INPUT BIGGESTBLOBIMAGE = F(X,Y);
	2. DETERMINE PARAMETERS(), THIS FUNCTION DETERMINES PARAMETERS OVER INPUT IMAGE NAMED AS BIGGESTBLOBIMAGE
	A. CALCULATE MAXROW(IMAGE);
	B. CALCULATE MINROW(IMAGE);
	C. CALCULATE MAXCOL(IMAGE);
	D. CALCULATE MINCOL(IMAGE);
	ADJUST A,B,C,D ACCORDING TO BIGGESTBLOB BOUNDARY LEVELSET(MAXROW, MINROW, MINCOL, MAXCOL) = -2
	3. BIGGESTBLOBIMAGE CONVOLVES WITH GAUSSIAN LOW PASS KERNEL
	4. U = REGION SCALE FITTING (), THIS FUNCTION GIVES THE INTENSITY FITTING INTO TWO REGIONS.
	DERIVATE THE IMAGE TO CALCULATE THE STRENGTH OF EDGES
	A. LOCALISE THE INNER CONTOUR
	B. LOCALISE THE OUTER CONTOUR
	C. DEFINE INNER AND OUTER INTENSITIES
	D. DATA FORCE WHICH SEPARATED INNER CONTOUR FROM THE OUTER CONTOUR
	5. RETURN AND DISPLAY THE EDGE DETECTED IMAGE