def getBlobImage(original, settings, cutNo): """Show the colored blobs in an image at the cut specified by cutNo as int. The cut ratio are placed in the settings and only the first cut in this ratio-list will be analyzed. original should be the image data settings should be of class Settings cutNo as int""" # Get the cut defined by cutNo from the cuts from the first cut ratio in settings cut = lib.findMeans(cv.cvGetSize(original), settings.cutRatios[0])[cutNo] # Get the BW edge image edgeImage = getEdgeImage(original, settings) # Find the margin margin = marginCalculator.getPixels(original, cut, settings.marginPercentage) # Clever hack for putting the cut in an array tmp = [] tmp.append(cut) # Get results (blobImage, components) = analyzeCut(original, edgeImage, cut, settings, True) lib.drawLines(blobImage, blobImage, tmp) lib.drawMargin(blobImage, cut, margin) # Return result, what a surprise return blobImage
def getBoundingBoxImage(original, settings, cutNo, thickness=1, color=None): """Same as above but will paint the bounding boxes original should be the image data settings should be of class Settings cutNo as int color as CV_RGB""" # Get the cut defined by cutNo from the cuts from the first cut ratio in settings cut = lib.findMeans(cv.cvGetSize(original), settings.cutRatios[0])[cutNo] # Get the BW edge image edgeImage = getEdgeImage(original, settings) # Find the margin margin = marginCalculator.getPixels(original, cut, settings.marginPercentage) tmp = [] tmp.append(cut) components = analyzeCut(original, edgeImage, cut, settings) lib.drawMargin(original, cut, margin) # Draw the components lib.drawBoundingBoxes(original, components, thickness, color) return original
def analyzeCut(original, edgeImage, cut, settings, showBlobs=False): """Extract the interesting features in the vicinity of a given cut""" # Get all data from the settings lo = settings.lo up = settings.up # Set up the margin with respect to the cut margin = marginCalculator.getPixels(original, cut, settings.marginPercentage) superMargin = 0 # ^^ We don't use superMargin # Set up constraints constraints = regionSelector.Constraints(cv.cvGetSize(original), cut, margin, superMargin, 0.002, 0.25) # Create temporary images blurImage = cv.cvCreateImage(cv.cvGetSize(original), 8, 3) workImage = cv.cvCreateImage(cv.cvGetSize(original), 8, 3) # Create a blurred copy of the original cv.cvSmooth(original, blurImage, cv.CV_BLUR, 3, 3, 0) # Superimpose the edges onto the blured image cv.cvNot(edgeImage, edgeImage) cv.cvCopy(blurImage, workImage, edgeImage) # We're done with the blurred image now cv.cvReleaseImage(blurImage) # Get the edges back to white cv.cvNot(edgeImage, edgeImage) # Retrive the regions touching the cut component_dictionary = featureDetector.ribbonFloodFill(original, edgeImage, workImage, cut, margin, lo, up) #start expanded # Prune components BEFORE we delete the workImage tmpnewComponents = regionSelector.pruneExpandedRegions(component_dictionary, constraints) newComponents = regionSelector.pruneExpandedRagionsto(tmpnewComponents, constraints, cut, workImage) # Clean up only if we do not return the image if not showBlobs: cv.cvReleaseImage(workImage) # Return the dictionary of accepted components or both if not showBlobs: return newComponents else: return (workImage, newComponents)
