Title :
Adaptive Edge Enhancement of the Ultrasound Image
Author :
Li, Huan ; Gao, Jun ; Liu, Dong C.
Author_Institution :
Sichuan Univ., Chengdu
Abstract :
This paper presents an adaptive edge enhancement algorithm for ultrasound imaging. Most of classical edge enhancement techniques take the whole image as a unit and use the spatial or frequency domain edge operators to enhance the region whose grey varies largely. Because of the speckle noises of the ultrasound images, edge operators may enhance the speckles and degrade the contrast resolution of the image. Moreover, classical edge enhancement techniques can enhance the reverberation artifacts which appear like the edge. In this paper we present a segmentation method, i.e. seeking the regions whose edges needs to be enhanced and ruling out the error edges caused either by speckle noises or the reverberation artifacts. Segmentation techniques are based on the texture analysis of the spatial grey level cooccurrence matrix. The proposed enhancement function is a class of modified sigmoid functions. Results show that we can leave speckle/reverberation unchanged and enhance tissue boundaries.
Keywords :
biomedical ultrasonics; image enhancement; image resolution; image segmentation; image texture; matrix algebra; medical image processing; adaptive edge enhancement; frequency domain edge operators; image contrast resolution; modified sigmoid functions; reverberation artifacts; segmentation techniques; spatial grey level cooccurrence matrix; texture analysis; ultrasound image; Image edge detection; Image resolution; Image segmentation; Image texture analysis; Liver; Quantization; Reverberation; Speckle; Statistics; Ultrasonic imaging;
Conference_Titel :
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location :
Sichuan
Print_ISBN :
0-7695-2929-1
DOI :
10.1109/ICIG.2007.47