Colour transfer for grayscale images based on morphology transformation and FFCM cluster

To deal with the problem that the traditional color transfer algorithms can not transfer the image colour accurately and have large amount calculation, we proposed a colour transfer algorithm for colorizing grayscale images based on morphology transformation and fast fuzzy C-means (FFCM) cluster. We used morphology transformation to process the target image for removing the non-uniform luminance region first, and adopted the FFCM algorithm to cluster the target image accurately.Then we established the correspondence between the swatches of source and target images to complete the color transfer of swatches which were as the references to complete the target image-s colorization.The experimental results showed that, compared with Welsh and fuzzy C-means (FCM),the elapsed time decreased by 64.2% and 54.25% respectively and the result image was more natural in clusters- junction which proved the validity of our algorithm proposed.