FloodFill(漫水填充)算法的实现（国外英文资料）.docVIP

FloodFill(漫水填充)算法的实现（国外英文资料） Introduction to the So-called flood water filling, in simple terms, is automatically selected and seed points connected area, then this area is replaced with the specified color, this is a very useful function, and are often used to mark or part of the separation of image processing and analysis. Flood water filling can also be used to mask was obtained from the input image region, mask will accelerate the process, or only mask the specified pixel processing. With this population-based algorithm, the magic wand selection tool like photoshop is easy to implement. Flood water filling (FloodFill) is to find the same point and the color of the seed point unicom, magic wand selection tool is to find and seed points of unicoms color close, will be some color similar point pressure and initial seeds into the stack as a new seeds I think the algorithm can also be used for road identification in relatively ideal situations, and to realize driverless cars. Part of the code FloodFill Fill a connection field with the specified color, which is filled with contrasting red and green colors Void cvFloodFill (CvArr * image, CvPoint seed_point, CvScalar new_val, CvScalar lo_diff = cvScalarAll (0), CvScalar up_diff = cvScalarAll (0), CvConnectedComp * comp = NULL, int flags = 4, CvArr * mask = NULL) # define CV_FLOODFILL_FIXED_RANGE (1 16) Define CV_FLOODFILL_MASK_ONLY (1 The image Type 1 - or 3-channel, 8-bit or floating point image. The input image will be changed by the operation of the function unless you select the CV_FLOODFILL_MASK_ONLY option (see below). seed_point Start the seed point. new_val New redrawn pixels lo_diff Currently, the maximum value of the Lower difference is observed in the value of the pixel value of the pixel and the element in the element. For 8-bit color image, it is a packed value. up_diff Currently, the maximum value of the upper difference is observed in the value of the pixel value of t