if not image: print "Error loading image '%s'" % filename print "" sys.exit(-1) threshold1 = 70; threshold2 = 70; out = cv.cvCreateImage(cv.cvGetSize(image), 8, 3) edgeDetector.findEdges(image, out, threshold1, threshold2) print "Finding the golden means in the picture" lines = lib.findMeans(cv.cvGetSize(image)) print "Test plot and line scanner methods" points = lineScanner.naiveLineScanner(out, image, lines[0]) out = highgui.cvLoadImage (filename) outcopy = highgui.cvLoadImage (filename) (out,areaOfBlobs) = featureDetector.floodFillLine(out, points, lines[0], lo, up) copy = cv.cvCopy(out,outcopy) #print "Finding the golden means in the picture" #lines = lib.findMeans(cv.cvGetSize(out)) #print "Drawing the means" #lib.drawLines(lines, out) #out = out[:,points[0].x :] listOverSizeOfBlobs = statestik.splitOpBlob(out,outcopy,points,lines[0])
print "" sys.exit(-1) threshold1 = 70; threshold2 = 70; out = cv.cvCreateImage(cv.cvGetSize(image), 8, 3) edgeDetector.findEdges(image, out, threshold1, threshold2) print "Finding the golden means in the picture" lines = lib.findGoldenMeans(cv.cvGetSize(image)) cut = lines[0] print "Test plot and line scanner methods" points = lineScanner.naiveLineScanner(out, image, cut) out = highgui.cvLoadImage (filename) (out, components) = featureDetector.floodFillLine(image, out, points, cut, lo, up) print components[0].area # Test comp = cv.CvConnectedComp() seed = cv.cvPoint(200, 20) cv.cvFloodFill(image, seed, lib.COL_RED, cv.CV_RGB(lo,lo,lo), cv.CV_RGB(up,up,up),comp)# ,flags, None); print comp.area lib.drawBoundingBoxes(out, components)
