Title :
Enhancement and Denoising of Near-Infrared Image with Multiscale Morphology
Author :
Gao, Zhiyong ; Ma, Zhifeng ; Chen, Xinhao ; Liu, Haihua
Author_Institution :
Coll. of Biomed. Eng., South-Central Univ. for Nat., Wuhan, China
Abstract :
Near-infrared imaging (NIR) is non-invasive and feasible for the detection of breast cancer and is widely used. But the local contrast of NIR image is low and there are many kinds of noises in the image. Therefore, enhancement and denoising are needed to facilitate diagnosis. This paper presented a method based on multiscale morphology to enhance NIR image while reduce noises. Different weights related with different objects are set to enhance meaningful dark objects such as blood vessels and shadow in NIR image. Experimental results and subjective evaluation show that the method is effective and satisfactory.
Keywords :
biomedical optical imaging; blood vessels; image denoising; image enhancement; medical image processing; blood vessels; dark objects; multiscale morphology; near-infrared image denoising; near-infrared image enhancement; Breast cancer; Image enhancement; Imaging; Morphology; Noise; Noise reduction;
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5088-6
DOI :
10.1109/icbbe.2011.5780209
