X-Ray Image Enhancement Based on Multiscale Morphology
Wei Zheng, Hua Ming Yang, Hui-sheng Sun, Hongqi Fan · 2007
For improving the quality of x-ray image, this paper presents a method for enhancing x-ray image using multiscale mathematical morphology. The conventional theoretical concept of image enhancement has been extended to the regime of multiscal mathematical morphology. Structuring element in this method is multiscale. Bright and dark features at various scales of x-ray image are extracted using multiscale (white or black) tophat transformation. These multiscale features are combined to reconstruct the final modified image. Therefore the contrast of x- ray image is enhanced locally and the features of the original image are more clear. Morphological difference towers are bulk to implement the method. The proposed algorithm has been executed on the orthopaedic x-ray image for testing its result. Some images with other standard or improved methods for contrast enhancement are given in the paper. Compared with these images multiscale mathematical morpholgical X-ray image enhancement technique has achieved a better visual effect. Multiscale mathematical morphology can be used in x-ray image process.